31 Physical Data Modeling Jobs in Pune

As a Sr. Data Engineer/Architect at Barclays, you will play a vital role in driving innovation and excellence in the digital landscape. You will utilize cutting-edge technology to enhance digital offerings, ensuring exceptional customer experiences. Working alongside a team of engineers, business analysts, and stakeholders, you will tackle complex technical challenges that require strong analytical skills and problem-solving abilities. **Key Responsibilities:** - Experience and understanding in ETL, APIs, various data formats (JSON, Avro, Parquet) and experience in documenting/maintaining interface inventories. - Deep understanding of AWS services (e.g., Glue, S3, Databricks, Snowflake) and Hadoop ecosystem for data processing and storage. - Familiarity with Databricks, Delta Lake, and Medallion architecture for advanced analytics and fraud detection use cases. - Build logical and physical data models, enforce data quality, and integrate data across multiple systems. - Data Design and Requirements Analysis: Able to apply data design patterns and frameworks, working knowledge of schemas and normalization. - Experience in preparing architecture vision documents, data flow diagrams, and maintain auditable governance documentation. - Understands user requirement gathering to define data flow, model and design. - Knowledge of basic activities and deliverables of application design; ability to utilize application design methodologies, tools and techniques to convert business requirements and logical models into a technical application design. - Knowledge of Architecture Modelling; ability to develop and modify enterprise architecture through conceptual, logical and physical approaches. - Knowledge of data, process and events; ability to use tools and techniques for analyzing and documenting logical relationships among data, processes or events. - Knows the tools and techniques used for data governance. Understands the relevance of following, creating and improving policies to ensure data is secure including data privacy (e.g. token generation). - Knowledge on the right platform for the data transmission and ensure the cloud / on prem servers are appropriately used. Also, ensure the cost is considered while choosing the cloud vs on-perm platform. - Knowledge on the database and latest updates to help provide the right tools and design. - Proficient in communicating data standards and demonstrating their value to the wider audience. **Qualifications Required:** - Educated to degree or MBA level to be able to meet the intellectual demands of the job, or can demonstrate equivalent experience. - Good understanding of distributed systems and databases. - Good understanding of DBT (Data Build Tool). - Good understanding of AWS database technologies e.g. Databricks, Snowflake. - Knowledge of PCI DSS and PA DSS tokenization and encryption. - Understands basic features of RDMBS and NoSQL databases. The role is based in Pune. In this role, you will build and maintain data architectures pipelines, design and implement data warehouses and data lakes, develop processing and analysis algorithms, and collaborate with data scientists to deploy machine learning models. Your responsibilities also include advising on decision making, contributing to policy development, and ensuring operational effectiveness. All colleagues at Barclays are expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence, and Stewardship. Additionally, adherence to the Barclays Mindset to Empower, Challenge and Drive is crucial for creating a culture of excellence and integrity within the organization. As a Sr. Data Engineer/Architect at Barclays, you will play a vital role in driving innovation and excellence in the digital landscape. You will utilize cutting-edge technology to enhance digital offerings, ensuring exceptional customer experiences. Working alongside a team of engineers, business analysts, and stakeholders, you will tackle complex technical challenges that require strong analytical skills and problem-solving abilities. **Key Responsibilities:** - Experience and understanding in ETL, APIs, various data formats (JSON, Avro, Parquet) and experience in documenting/maintaining interface inventories. - Deep understanding of AWS services (e.g., Glue, S3, Databricks, Snowflake) and Hadoop ecosystem for data processing and storage. - Familiarity with Databricks, Delta Lake, and Medallion architecture for advanced analytics and fraud detection use cases. - Build logical and physical data models, enforce data quality, and integrate data across multiple systems. - Data Design and Requirements Analysis: Able to apply data design patterns and frameworks, working knowledge of schemas and normalization. - Experience in preparing architecture vision documents, data flow diagrams, and maintain auditable governance documentation. - Understands user requirement gathering to define data flow, model and design. - Knowledge of ba

As a data modeler with hands-on Snowflake experience at Bridgenext, you will be responsible for designing, implementing, and documenting data architecture and data modeling solutions using Azure SQL and Snowflake databases. Your role will involve developing conceptual, logical, and physical data models, implementing operational data stores, data marts, and data lakes, and optimizing data query performance through best practices. - Design, implement, and document data architecture and data modeling solutions using Azure SQL and Snowflake databases - Develop conceptual, logical, and physical data models - Implement operational data stores, data marts, and data lakes - Optimize data query performance via best practices - Work independently and collaboratively with business and application teams - Define and govern data modeling and design standards - Identify architecture, infrastructure, interfaces to data sources, tools supporting automated data loads, security concerns, analytic models, and data visualization - Conduct hands-on modeling, design, configuration, installation, performance tuning, and sandbox POC - Address project requirements proactively, articulate issues/challenges, and reduce project delivery risks - Ensure data quality and governance - Knowledge of ETL processes Qualifications Required: - 4-8 years of overall experience - 4 years of experience in designing, implementing, and documenting data architecture and data modeling solutions using Azure SQL and Snowflake databases - Knowledge of relational databases, data architecture computer systems, including SQL - Experience in ER modeling, big data, enterprise data, and physical data models - Strong knowledge of Data Quality and Data Governance - Ability to work independently, maintain composure in all situations, and collaborate effectively - Self-sufficient, independent, and able to produce high-quality results consistently - Strong written, verbal, and presentation communication skills At Bridgenext, you will have the opportunity to work in a vibrant, smart, and passionate team that values innovation and growth. Join us in delivering rapid, meaningful, and lasting business value to our clients while having fun along the way.,

Role Overview: As a Reporting Engineer - MSTR in our organization located in Pune, your primary responsibility will be the development and maintenance of reporting tools, with a focus on MicroStrategy. Your expertise will be crucial in collaborating with various stakeholders to design a streamlined instance architecture and ensure the delivery of reliable software and data pipelines. You will play a key role in our data engineering and analytics team, contributing to our technological and architectural vision. Key Responsibilities: - Develop and maintain reporting tools, particularly MicroStrategy, with a good-to-have knowledge of Looker. - Provide technical expertise and day-to-day development support. - Assist in designing the overall instance architecture to optimize speed and enhance end-user experience. - Collaborate with data analysts, data scientists, data engineers, product managers, and business stakeholders. - Ensure reliable software and data pipelines using data engineering best practices. - Demonstrate a commitment to teamwork and possess excellent business and interpersonal skills. Qualifications Required: - Minimum 3 years of practical experience in data reporting and engineering for business intelligence platforms, especially in MicroStrategy. - Bachelor's degree in computer science, data science, engineering, physical sciences, or related field. - Proficient in SQL and distributed source control like GIT in an Agile-Scrum environment. Experience with LookML and Python is advantageous. - Experience in BI administration tasks such as cloud setup, instance setup and upgrading, backup creation, and disaster recovery. - Strong understanding of dimensional modeling and data warehousing methodologies. - Skilled in identifying root-cause issues behind data discrepancies and optimizing SQL queries. - Up-to-date with the latest data trends and adept at simplifying data insights. - Passionate about data and its potential for providing valuable insights. - Experience in retail analytics is a plus.,

Role Overview: You will be part of a high performing team implementing a strategic future state technology landscape for all DWS Corporate Functions globally. As an ETL developer, you will be responsible for developing, testing, and maintaining robust and scalable ETL processes to support data integration initiatives. This role requires a strong understanding of database, Unix, and ETL concepts, excellent SQL skills, and experience with ETL tools and databases. Key Responsibilities: - Create good quality software using standard coding practices - Hands-on code development - Thorough testing of developed ETL solutions/pipelines - Code review of other team members - Take end-to-end accountability and ownership of work/projects with robust engineering practices - Convert business requirements into technical design - Delivery, Deployment, Review, Business interaction, and Maintaining environments - Collaborate across teams - Share information, transfer knowledge, and expertise to team members - Work closely with Stakeholders, Functional Analysis, and Quality Assurance teams - Troubleshoot and resolve reported bugs/issues on applications Qualifications Required: - Bachelor's Degree from an accredited college or university with a concentration in Science or an IT-related discipline (or equivalent) - Hands-on experience with StreamSets, SQL Server, and Unix - Experience in developing and optimizing ETL Pipelines for data ingestion, manipulation, and integration - Strong proficiency in SQL, including complex queries, stored procedures, functions - Solid understanding of relational database concepts - Familiarity with data modeling concepts (Conceptual, Logical, Physical) - Familiarity with HDFS, Kafka, Microservices, Splunk - Familiarity with cloud-based platforms (e.g., GCP, AWS) - Experience with scripting languages (e.g., Bash, Groovy) - Excellent knowledge of SQL - Experience of delivering within an agile delivery framework - Experience with distributed version control tools (Git, Github, BitBucket) - Experience within Jenkins or pipelines based modern CI/CD systems Additional Company Details (if any): The company strives for a culture where employees are empowered to excel together every day by acting responsibly, thinking commercially, taking initiative, and working collaboratively. They promote a positive, fair, and inclusive work environment and welcome applications from all people. For further information about the company, please visit their website: [Deutsche Bank Company Website](https://www.db.com/company/company.htm) Role Overview: You will be part of a high performing team implementing a strategic future state technology landscape for all DWS Corporate Functions globally. As an ETL developer, you will be responsible for developing, testing, and maintaining robust and scalable ETL processes to support data integration initiatives. This role requires a strong understanding of database, Unix, and ETL concepts, excellent SQL skills, and experience with ETL tools and databases. Key Responsibilities: - Create good quality software using standard coding practices - Hands-on code development - Thorough testing of developed ETL solutions/pipelines - Code review of other team members - Take end-to-end accountability and ownership of work/projects with robust engineering practices - Convert business requirements into technical design - Delivery, Deployment, Review, Business interaction, and Maintaining environments - Collaborate across teams - Share information, transfer knowledge, and expertise to team members - Work closely with Stakeholders, Functional Analysis, and Quality Assurance teams - Troubleshoot and resolve reported bugs/issues on applications Qualifications Required: - Bachelor's Degree from an accredited college or university with a concentration in Science or an IT-related discipline (or equivalent) - Hands-on experience with StreamSets, SQL Server, and Unix - Experience in developing and optimizing ETL Pipelines for data ingestion, manipulation, and integration - Strong proficiency in SQL, including complex queries, stored procedures, functions - Solid understanding of relational database concepts - Familiarity with data modeling concepts (Conceptual, Logical, Physical) - Familiarity with HDFS, Kafka, Microservices, Splunk - Familiarity with cloud-based platforms (e.g., GCP, AWS) - Experience with scripting languages (e.g., Bash, Groovy) - Excellent knowledge of SQL - Experience of delivering within an agile delivery framework - Experience with distributed version control tools (Git, Github, BitBucket) - Experience within Jenkins or pipelines based modern CI/CD systems Additional Company Details (if any): The company strives for a culture where employees are empowered to excel together every day by acting responsibly, thinking commercially, taking initiative, and working collaboratively. They promote a positive, fair, and inclusive work environment and welcome applications from all people

Role Overview: You will be responsible for the development and maintenance of reporting tools, primarily focusing on Looker. Your role will involve being a technical expert, collaborating with various teams within the organization, and ensuring reliable software and data pipelines. Key Responsibilities: - Develop and maintain reporting tools, specifically Looker - Collaborate with data analysts, data scientists, data engineers, product managers, and business stakeholders - Design instance architecture to optimize speed and enhance end-user experience - Ensure delivery of reliable software and data pipelines following data engineering best practices - Optimize SQL queries to minimize processing time for insights - Stay updated with the latest data trends and simplify data insights Qualifications Required: - Minimum 3 years of practical experience in data reporting and engineering, particularly in Looker - Bachelor's degree in computer science, data science, engineering, physical sciences, or related field - Proficiency in SQL, GIT, LookML, and Python with experience in Agile-Scrum environment - Experience in BI administration tasks such as cloud setup, instance setup, and disaster recovery - Strong understanding of dimensional modeling and data warehousing methodologies - Ability to identify root-cause issues behind data discrepancies - Passion for data and insights derived from large data sets - Experience in retail analytics is a plus (Note: Additional details about the company were not provided in the given Job Description),

As an Azure Data Stack Senior Associate at Spaulding Ridge, you will be responsible for building and managing data solutions on Azure and Snowflake platforms. Your role will involve designing, developing, and optimizing data pipelines, implementing data models, and enabling advanced analytics and machine learning capabilities. Key Responsibilities: - Design and develop scalable data pipelines using Azure Data Factory, PySpark, and Snowflake. - Implement and manage Azure Synapse Analytics and Snowflake for data warehousing and analytics. - Configure and optimize Azure Data Lake Storage (ADLS) for structured and unstructured data. - Build and maintain Snowflake schemas, manage data sharing, and optimize query performance. - Collaborate with data scientists to integrate Azure Machine Learning models into production workflows. - Develop and deploy applications using Azure App Services for data-driven solutions. - Write and optimize complex SQL queries for data transformation and reporting across Azure and Snowflake. - Implement ETL/ELT processes and ensure data quality and governance. - Monitor and troubleshoot data workflows, ensuring high availability and performance. - Work closely with business stakeholders to understand requirements and deliver actionable insights. Required Skills & Qualifications: - 6-8 years of experience in data engineering or related roles. - Hands-on experience with Azure Data Stack. - Strong proficiency in Azure Data Factory, Synapse, ADLS, PySpark, and Snowflake. - Advanced knowledge of SQL and performance tuning for large-scale data systems. - Should have done at least 3 implementations using Azure stack (ADLS / Synapse / Azure app). - Experience with ETL/ELT processes, data modeling, and data warehousing concepts. - Familiarity with CI/CD pipelines and DevOps practices for data solutions. - Excellent problem-solving skills and ability to work in a collaborative environment. Preferred Qualifications: - Experience with Azure ML would be an added advantage. - Experience with Python for data processing and automation. - Hands-on experience with Snowflake advanced features (Streams, Tasks, Time Travel, Data Sharing). - Knowledge of Power BI or other visualization tools. - Understanding of data governance and security best practices in Azure and Snowflake. - Certifications such as DP-203: Data Engineering on Microsoft Azure or Snowflake SnowPro Core are a plus. Spaulding Ridge is committed to fostering an inclusive workplace where diversity is valued and celebrated. The company believes in creating a culture of trust and belonging through various practices and policies that support inclusion. Additionally, Spaulding Ridge offers Equal Employment Opportunity and provides reasonable accommodation to applicants with physical and/or mental disabilities. If you require assistance during the application process, you can reach out to the VP of Human Resources, Cara Halladay, at challaday@spauldingridge.com. Requests for reasonable accommodation will be handled on a case-by-case basis. As an Azure Data Stack Senior Associate at Spaulding Ridge, you will be responsible for building and managing data solutions on Azure and Snowflake platforms. Your role will involve designing, developing, and optimizing data pipelines, implementing data models, and enabling advanced analytics and machine learning capabilities. Key Responsibilities: - Design and develop scalable data pipelines using Azure Data Factory, PySpark, and Snowflake. - Implement and manage Azure Synapse Analytics and Snowflake for data warehousing and analytics. - Configure and optimize Azure Data Lake Storage (ADLS) for structured and unstructured data. - Build and maintain Snowflake schemas, manage data sharing, and optimize query performance. - Collaborate with data scientists to integrate Azure Machine Learning models into production workflows. - Develop and deploy applications using Azure App Services for data-driven solutions. - Write and optimize complex SQL queries for data transformation and reporting across Azure and Snowflake. - Implement ETL/ELT processes and ensure data quality and governance. - Monitor and troubleshoot data workflows, ensuring high availability and performance. - Work closely with business stakeholders to understand requirements and deliver actionable insights. Required Skills & Qualifications: - 6-8 years of experience in data engineering or related roles. - Hands-on experience with Azure Data Stack. - Strong proficiency in Azure Data Factory, Synapse, ADLS, PySpark, and Snowflake. - Advanced knowledge of SQL and performance tuning for large-scale data systems. - Should have done at least 3 implementations using Azure stack (ADLS / Synapse / Azure app). - Experience with ETL/ELT processes, data modeling, and data warehousing concepts. - Familiarity with CI/CD pipelines and DevOps practices for data solutions. - Excellent problem-solving skills and ability to work in a collaborative environment. Prefe

As a motivated Python and Snowflake Developer with around 2 years of hands-on experience, your role at PTC will involve supporting data engineering initiatives by building, optimizing, and maintaining scalable data pipelines and integrations between Python applications and Snowflake's cloud data platform. Key Responsibilities: - Develop and maintain data pipelines using Python for ETL/ELT processes. - Write efficient SQL queries and scripts to process and analyze data in Snowflake. - Design, create, and maintain Snowflake schemas, tables, views, and stored procedures. - Implement and schedule data jobs using Snowflake Tasks, Streams, and Snowpipe. - Optimize Python code and SQL logic for performance and cost-efficiency. - Participate in code reviews, testing, and documentation of data workflows. Required Skills and Experience: - 2+ years of experience in software or data engineering using Python. - Good understanding of Snowflake architecture, including virtual warehouses, micro-partitions, and storage/compute separation. - Proficiency in SQL and familiarity with Snowflake-specific features (e.g., semi-structured data, time travel, streams/tasks). - Experience with data ingestion tools (Snowpipe, API-based ingestion, or ETL frameworks). - Familiarity with version control (Git) and basic DevOps practices. - Strong problem-solving skills and ability to work independently on tasks. Preferred Qualifications: - Experience with dbt data orchestration tools. - Familiarity with cloud platforms like AWS, GCP, or Azure. - Basic understanding of data modeling and analytics workflows. - Exposure to CI/CD for data pipelines. Education: - Bachelors degree in Computer Science, Data Engineering, Information Systems, or related field. At PTC, you will be part of a global team that values innovation, diversity, and personal growth. Join us in transforming the physical and digital worlds through cutting-edge technologies and collaboration with industry leaders. If you are passionate about problem-solving and innovation, the PTC experience awaits you. Explore your next career move with us and be a part of our exciting journey. PTC respects the privacy rights of individuals and is committed to handling Personal Information responsibly and in accordance with all applicable privacy and data protection laws.,

As a Principal Data Engineer at Brillio, you will play a crucial role in utilizing your expertise in Data Modeling, specifically with tools like ER Studio and ER Win. Your primary responsibility will revolve around partnering closely with clients to deliver and drive both Physical and logical model solutions. With your 10+ years of overall IT experience, including more than 2 years in Snowflake, you will be expected to demonstrate an in-depth understanding of Data Lake/ODS, ETL concepts, and modeling structure principles. Additionally, your experience in Data warehousing focusing on Dimensions, Facts, and Data modeling will be essential. Key Responsibilities: - Utilize your advanced Data Modeling concepts to create models across large volume-based environments. - Collaborate with clients to develop Entity Relationship Modeling solutions. - Apply your expertise in Database Designing Administration and Advanced Data Modeling for Star Schema design. - Develop SQL queries for investigation and analysis purposes. Qualifications Required: - 10+ years of overall IT experience with 2+ years in Snowflake modeling. - Proficiency in Data Modeling platforms like ER Studio and SQLDBM. - Strong skills in Entity Relationship Modeling and Database Designing Administration. - Excellent communication skills and the ability to lead teams effectively. About Brillio: Brillio is a rapidly growing digital technology service provider known for its innovative digital adoption strategies. Renowned for its world-class professionals, Brillio consistently attracts exceptional talent by focusing on groundbreaking technologies and exclusive digital projects. As a Great Place to Work certified company, Brillio is dedicated to providing an exceptional experience for its employees, known as "Brillians," by nurturing their full potential and ensuring client satisfaction.,

Role Overview: As a Data Architect in the EDS segment, you will play a crucial role in designing and implementing enterprise data management systems to align with business needs and strategic goals. Your expertise will contribute to creating scalable, efficient data infrastructure that supports the future of electrified, automated, and connected vehicles. Key Responsibilities: - Design and implement comprehensive data architecture frameworks and data models - Develop data management strategies, governance policies, and quality standards - Create and maintain data dictionaries, taxonomies, and metadata repositories - Collaborate with stakeholders to understand business requirements and translate them into technical specifications - Establish data integration processes between disparate systems - Implement security measures to protect sensitive data - Evaluate and recommend appropriate data storage solutions (relational databases, data warehouses, data lakes) - Guide ETL processes and data pipeline development - Mentor data engineers and analysts on best practices Qualification Required: - Technical Skills: - Data Modeling: Expertise in conceptual, logical, and physical data modeling techniques - Database Technologies: Proficiency with relational databases, NoSQL solutions, data warehouses, and data lakes - Big Data Frameworks: Knowledge of Hadoop, Spark, Kafka, and other distributed processing systems - ETL/ELT Processes: Design and optimization of data integration pipelines - Data Governance: Implementing data quality, master data management, and metadata management - SQL & Query Optimization: Advanced SQL skills and performance tuning expertise - Cloud Data Platforms: Experience with AWS, Azure, or GCP data services - Data Security: Understanding of data protection, encryption, access controls, and compliance requirements - Strategic Skills: - Data Strategy Development: Aligning data architecture with business objectives - Enterprise Architecture: Understanding how data architecture fits within broader enterprise systems - Data Lifecycle Management: Policies for data retention, archiving, and disposal - Soft Skills: - Communication: Explaining complex data concepts to non-technical stakeholders - Collaboration: Working effectively with data engineers, analysts, scientists, and business teams - Problem-Solving: Addressing complex data challenges with innovative solutions - Documentation: Creating comprehensive data dictionaries, models, and architectural diagrams - Project Management: Coordinating data architecture initiatives across teams,

As a Senior ERP Engineer at ZS, you will be responsible for designing simple data models to meet the needs of the finance systems. You will support and maintain data and database systems to meet business delivery specifications and perform analysis, design of logical data models, creation of physical models, development, and maintenance of standards of meta data. Additionally, you will work on day-to-day reporting and data structure issues, collaborate with vendor development teams, and partner on solutioning. Your ownership will ensure that the proposed design/architecture and deliverables meet client expectations and solve business problems with a high degree of quality. You will also collaborate with other ZS internal expertise teams such as Finance, IT, and Testing to ensure best-in-class technology solutions. Your outlook for continuous improvement and innovation will be crucial, and you will provide regular updates to the team lead while ensuring communication is up to the mark. **Key Responsibilities:** - Design simple data models for finance systems - Support and maintain data and database systems - Perform analysis and design of logical data models - Collaborate with vendor development teams - Ensure proposed design and deliverables meet client expectations - Collaborate with internal expertise teams at ZS - Drive continuous improvement and innovation - Provide regular updates to the team lead **Qualifications Required:** - Bachelor's/Master's degree in Computer Science, MIS, IT, or related field - 3-5 years of relevant consulting-industry experience - Experience with graphical/scripted data modeling and data provisioning using systems like SAP HANA, SQL database modeler, or MySQL - Hands-on exposure in understanding source and target systems, designing mapping & converting rules, and validating results - Working experience with SQL scripting, stored procedures, and table function integration - Experience with reporting/visualization tools like Business objects, Power Bi, Webi - Strong analytical skills, problem-solving skills, and programming ability - Understanding of SQL across traditional and cloud-based data sources - Practical knowledge of creating efficient datasets from voluminous data sources ZS offers a comprehensive total rewards package including health and well-being, financial planning, annual leave, personal growth, and professional development. The company's robust skills development programs, multiple career progression options, internal mobility paths, and collaborative culture empower you to thrive as an individual and global team member. ZS is committed to giving employees a flexible and connected way of working, allowing a combination of work from home and on-site presence at clients/ZS offices for the majority of the week. Travel is a requirement for client-facing ZSers based on business needs, with opportunities to strengthen client relationships and enhance professional growth. ZS is an equal opportunity employer and is committed to providing equal employment and advancement opportunities without regard to any class protected by applicable law. To apply, candidates must possess or be able to obtain work authorization for their intended country of employment. An online application, including a full set of transcripts, is required to be considered. If you are eager to contribute, grow, and bring your unique self to work at ZS, we encourage you to apply and learn more about the company's inclusion and belonging efforts. Please visit [ZS Website](www.zs.com) for more information.,

Role Overview: As a Senior Geospatial Technology Engineer at bp, you will have expertise in technology, data, analytics, engineering, and science solutions related to location. You will be part of the Geospatial team within Oil and Gas Technology, working on innovative projects and solutions using cutting-edge technologies. You will collaborate with other Geospatial experts, Digital Product teams, and business partners to deploy and develop Geospatial technology, data, and analytical solutions for various domains such as Production, Projects, Subsurface & Wells, Crisis, Renewables, and Refining. Key Responsibilities: - Develop innovative solutions and procedures, and promote standard methodology to enhance efficiency and quality within the geospatial team and across products. - Utilize geospatial technology including configuration and connectivity of cameras, handhelds, AR/VR equipment, sensors, GPS, and drones. - Manage geospatial data through spatial databases, coordinate reference systems, image processing, query processing, spatial data infrastructures, and data security. - Conduct geospatial analysis including query operations, earth geometry, spatial statistics, data mining, network analysis, and optimization modeling. - Visualize spatial data considering map design principles, map production, web-based maps, applications, and dashboards. - Have expertise in reality collection, 3D models, data integration, and manipulation between Geospatial systems and other applications using tools like FME and Databricks. - Proficiency in ArcGIS Desktop and Enterprise suite of tools like ArcGIS Pro, Server, Portal, and associated APIs. Qualifications Required: - Craft innovative solutions to improve processes, workflows, and service delivery, challenging conventional thinking. - Engage in honest conversations, actively listen to concerns, and collect diverse opinions to upskill others. - Autonomy in problem identification, project ownership, and continuous improvement opportunities. - Proactively manage customer relationships, identify project needs, and suggest solutions. - Recognize and handle change management effectively, building energy around the change. - Communicate effectively to both technical and non-technical audiences. - Have a business impact on KPIs and be seen as a thought partner to the business. Additional Details about bp: bp is a global energy business with a purpose to reimagine energy for people and the planet, aiming to reach net zero by 2030 and improve lives. The company is committed to fostering a diverse and inclusive environment where everyone can thrive. Note: This role may require up to 10% travel and is eligible for relocation within the country. It is a hybrid position combining office and remote work. Legal Disclaimer: Employment with bp may be contingent upon adherence to local policies, including drug screening, physical fitness review, and background checks. Role Overview: As a Senior Geospatial Technology Engineer at bp, you will have expertise in technology, data, analytics, engineering, and science solutions related to location. You will be part of the Geospatial team within Oil and Gas Technology, working on innovative projects and solutions using cutting-edge technologies. You will collaborate with other Geospatial experts, Digital Product teams, and business partners to deploy and develop Geospatial technology, data, and analytical solutions for various domains such as Production, Projects, Subsurface & Wells, Crisis, Renewables, and Refining. Key Responsibilities: - Develop innovative solutions and procedures, and promote standard methodology to enhance efficiency and quality within the geospatial team and across products. - Utilize geospatial technology including configuration and connectivity of cameras, handhelds, AR/VR equipment, sensors, GPS, and drones. - Manage geospatial data through spatial databases, coordinate reference systems, image processing, query processing, spatial data infrastructures, and data security. - Conduct geospatial analysis including query operations, earth geometry, spatial statistics, data mining, network analysis, and optimization modeling. - Visualize spatial data considering map design principles, map production, web-based maps, applications, and dashboards. - Have expertise in reality collection, 3D models, data integration, and manipulation between Geospatial systems and other applications using tools like FME and Databricks. - Proficiency in ArcGIS Desktop and Enterprise suite of tools like ArcGIS Pro, Server, Portal, and associated APIs. Qualifications Required: - Craft innovative solutions to improve processes, workflows, and service delivery, challenging conventional thinking. - Engage in honest conversations, actively listen to concerns, and collect diverse opinions to upskill others. - Autonomy in problem identification, project ownership, and continuous improvement opportunities. - Proactively manage customer relationships,

As a Data Engineer at Aptiv, you will play a crucial role in designing, developing, and implementing a cost-effective, scalable, reusable, and secure Ingestion framework. Your responsibilities include working closely with business leaders, stakeholders, and source system SMEs to understand and define business needs, translate them into technical specifications, and ingest data into Google Cloud platform, specifically BigQuery. Additionally, you will be involved in designing and implementing processes for data ingestion, transformation, storage, analysis, modeling, reporting, monitoring, availability, governance, and security of high volumes of structured and unstructured data. **Key Responsibilities:** - Pipeline Design & Implementation: Develop and deploy high-throughput data pipelines using the latest GCP technologies. - Subject Matter Expertise: Serve as a specialist in data engineering and Google Cloud Platform (GCP) data technologies. - Client Communication: Engage with clients, understand their requirements, and translate them into technical data solutions. - Technical Translation: Analyze business requirements, convert them into technical specifications, create source-to-target mappings, enhance ingestion frameworks, and transform data based on business rules. - Data Cataloging: Develop capabilities to support enterprise-wide data cataloging. - Security & Privacy: Design data solutions focusing on security and privacy. - Agile & DataOps: Utilize Agile and DataOps methodologies in project delivery. **Qualifications Required:** - Bachelor's or Master's degree in Computer Science, Data & Analytics, or similar relevant subjects. - 4+ years of hands-on IT experience in a similar role. - Proven expertise in SQL, including subqueries, aggregations, functions, triggers, indexes, database optimization, and relational data-based models. - Deep experience with Google Data Products such as BigQuery, Dataproc, Dataplex, Looker, Data Catalog, Dataflow, and more. - Experience in Qlik Replicate, Spark (Scala/Python/Java), and Kafka. - Excellent written and verbal communication skills to convey technical solutions to business teams. - Knowledge of statistical methods, data modeling, and industry standards in the Data and Analytics space. - Ability to work effectively with globally distributed teams. - Proficiency in designing and creating Tableau/Qlik/Power BI dashboards, Alteryx, and Informatica Data Quality. Furthermore, Aptiv provides an inclusive work environment where individuals can grow and develop, irrespective of gender, ethnicity, or beliefs. Safety is a core value at Aptiv, aiming for a world with Zero fatalities, Zero injuries, and Zero accidents. The company ensures resources and support for your family, physical, and mental health with a competitive health insurance package. **Benefits:** - Personal holidays - Healthcare - Pension - Tax saver scheme - Free Onsite Breakfast - Discounted Corporate Gym Membership In addition to the above benefits, you will have the opportunity for professional growth and development in a multicultural environment, access to internal and external training, coaching, certifications, recognition for innovation and excellence, and convenient transportation options at Grand Canal Dock. If you are passionate about data engineering, Google Cloud Platform, and making a positive impact in the mobility industry, we invite you to join Aptiv's IT Data Analytics team and contribute to our mission of creating a safer, greener, and more connected world.,

As a Principal Data Engineer at Brillio, you will play a crucial role in leveraging your expertise in Data Modeling, particularly using tools like ER Studio and ER Win. Your primary responsibility will be to partner closely with clients to deliver physical and logical model solutions, with a focus on Data Lake/ODS, ETL concepts, and modeling structure principles. Your 10+ years of IT experience, including 2+ years in Snowflake, will be instrumental in driving Data Warehousing initiatives, encompassing Dimensions, Facts, and Data modeling. Key Responsibilities: - Collaborate with clients to develop and implement Data Modeling solutions - Utilize ER Studio and other platforms for modeling across large volume-based environments - Lead teams effectively to ensure successful project delivery - Utilize your expertise in Entity Relationship Modeling and Database Designing Administration - Develop SQL queries for investigation and analysis purposes Qualifications Required: - 10+ years of overall IT experience with a focus on Data Modeling - Hands-on experience in Snowflake and ER Studio - Proficiency in Data Warehousing concepts and modeling principles - Strong communication skills and leadership abilities - Knowledge of AWS eco systems is a plus Join Brillio, a rapidly growing digital technology service provider, and be a part of a team that is dedicated to turning disruption into a competitive advantage through innovative digital adoption. Brillio's commitment to providing an exceptional experience to its employees, known as "Brillians", makes it a Great Place to Work certified organization consistently.,

As a Data Modeler at Barclays, you will play a crucial role in evolving the infrastructure and deployment pipelines, driving innovation and operational excellence. Your responsibilities will include translating business requirements into logical and physical data models, collaborating with Data Product Managers, testing data models, and optimizing their performance continuously. Key Responsibilities: - Design and implement high-quality data models to optimize data access, storage, and analysis, with experience in ER Studio. - Create comprehensive documentation of data models, including entity relationship diagrams and data dictionaries, and obtain sign-off from relevant stakeholders. - Partner with business stakeholders to understand data needs and translate requirements into clear data modeling specifications. - Collaborate with data engineers to translate logical data models into physical data models and monitor and optimize their performance throughout the development lifecycle. Qualifications Required: - Experience in designing and implementing data models, preferably with ER Studio. - Proficiency in creating and maintaining documentation of data models. - Strong collaboration and communication skills with the ability to work with various stakeholders. Barclays is committed to implementing data quality processes and procedures to ensure reliable and trustworthy data. The role aims to extract actionable insights from data to improve operations and optimize resources. Should you take on the role of Assistant Vice President, you are expected to advise and influence decision-making, contribute to policy development, and ensure operational effectiveness. If leading a team, you will set objectives, coach employees, and create an environment for colleagues to thrive. The Barclays Values of Respect, Integrity, Service, Excellence, and Stewardship, along with the Barclays Mindset of Empower, Challenge, and Drive, are integral to our culture and behavior expectations for all colleagues.,

As a Supply Chain Specialist at Medtronic, you will play a crucial role in supporting the MiniMed SAP Supply Chain modules. Your responsibilities will include the following: - Engaging with business leaders to understand strategies and data-driven changes that can enhance efficiencies and add value. - Working with data sets to identify use cases for improving products, processes, and services. - Collaborating with Business Relationship Manager (BRM), business stakeholders, and IT Product Owners / Managers to develop business requirements for system changes. - Driving the business agenda during the solution delivery process. In terms of functional skills, you should possess the ability to analyze data and trends to develop recommendations for solving business problems. Additional skills that will be beneficial for this role include problem-solving, attention to detail, cross-functional collaboration, customer service orientation, process improvement, and effective communication. You should also have an understanding of systems, software, and technological concepts, along with familiarity with data analysis tools and data modeling methodologies. Qualifications Required: - Minimum 10+ years of hands-on experience in SAP Supply Chain modules, specifically in MM (Materials Management), PP (Production Planning), EWM/WM (Warehouse Management), QM (Quality Management), and PM (Plant Maintenance). - Experience in IBP/APO for Demand and Supply Planning is highly preferred. - Proven track record of leading S/4HANA Supply Chain implementations or transformations. - Strong integration knowledge across SD, FI/CO, and Procurement processes. In addition to the technical qualifications, you should meet the physical job requirements. While the above responsibilities outline the general nature of the role, they do not encompass all the responsibilities and skills required for this position. Medtronic offers a competitive salary and a flexible benefits package. As an employee, you will have access to a wide range of benefits, resources, and competitive compensation plans that support you at every stage of your career and life. This position is also eligible for the Medtronic Incentive Plan (MIP). About Medtronic: Medtronic leads global healthcare technology and is committed to addressing the most challenging health problems. With a mission to alleviate pain, restore health, and extend life, Medtronic unites a team of 95,000+ passionate individuals. The company is dedicated to engineering real solutions for real people and values diversity, innovation, and collaboration. Join Medtronic in championing healthcare access and equity for all while exploring a career of innovation and purpose. As a Supply Chain Specialist at Medtronic, you will play a crucial role in supporting the MiniMed SAP Supply Chain modules. Your responsibilities will include the following: - Engaging with business leaders to understand strategies and data-driven changes that can enhance efficiencies and add value. - Working with data sets to identify use cases for improving products, processes, and services. - Collaborating with Business Relationship Manager (BRM), business stakeholders, and IT Product Owners / Managers to develop business requirements for system changes. - Driving the business agenda during the solution delivery process. In terms of functional skills, you should possess the ability to analyze data and trends to develop recommendations for solving business problems. Additional skills that will be beneficial for this role include problem-solving, attention to detail, cross-functional collaboration, customer service orientation, process improvement, and effective communication. You should also have an understanding of systems, software, and technological concepts, along with familiarity with data analysis tools and data modeling methodologies. Qualifications Required: - Minimum 10+ years of hands-on experience in SAP Supply Chain modules, specifically in MM (Materials Management), PP (Production Planning), EWM/WM (Warehouse Management), QM (Quality Management), and PM (Plant Maintenance). - Experience in IBP/APO for Demand and Supply Planning is highly preferred. - Proven track record of leading S/4HANA Supply Chain implementations or transformations. - Strong integration knowledge across SD, FI/CO, and Procurement processes. In addition to the technical qualifications, you should meet the physical job requirements. While the above responsibilities outline the general nature of the role, they do not encompass all the responsibilities and skills required for this position. Medtronic offers a competitive salary and a flexible benefits package. As an employee, you will have access to a wide range of benefits, resources, and competitive compensation plans that support you at every stage of your career and life. This position is also eligible for the Medtronic Incentive Plan (MIP). About Medtronic: Medtronic leads global healthcare tech

As a BI Architect at Persistent Ltd., you will be responsible for designing, developing, and implementing scalable and efficient Business Intelligence (BI) solutions using tools like Power BI, Tableau, and modern data platforms. Your role will involve closely working with stakeholders to understand business needs and translating them into actionable data insights and visualizations. **Key Responsibilities:** - Design and implement end-to-end BI solutions using Tableau and Power BI. - Develop semantic models, dashboards, and reports to support business decision-making. - Create and maintain data models, ETL pipelines, and data warehouses. - Optimize performance of BI solutions and ensure data accuracy and consistency. - For Senior Roles: Integrate AI/ML features such as Power BI Copilot, Smart Narratives, AutoML, and natural language querying. - For Senior Roles: Build predictive dashboards and anomaly detection models. - Work with cross-functional teams (finance, sales, operations) to gather requirements. - Implement data governance, security, and compliance frameworks. - Mentor junior BI developers and analysts. **Qualifications Required:** - Strong expertise in Power BI including Semantic models, DAX, Paginated Reports, Q&A visual. - Proficiency in Tableau covering Desktop, Server, Cloud, LOD Expressions. - Solid SQL skills and experience with relational databases (SQL Server, PostgreSQL, Oracle). - Experience with ETL tools (e.g., Talend, Informatica) and data modeling (Star/Snowflake schemas). - Familiarity with cloud platforms such as Azure, AWS, Google BigQuery. - Bonus: Knowledge of Python or R for data manipulation and AI/ML integration. Persistent Ltd. offers competitive salary and benefits package along with a culture focused on talent development. Quarterly growth opportunities and company-sponsored higher education and certifications are provided. You will have the chance to work with cutting-edge technologies and engage in employee initiatives like project parties, flexible work hours, and Long Service awards. Additionally, annual health check-ups and insurance coverage for self, spouse, children, and parents are included. Persistent Ltd. is committed to fostering diversity and inclusion in the workplace. The company supports hybrid work and flexible hours to accommodate diverse lifestyles. The office is accessibility-friendly with ergonomic setups and assistive technologies for employees with physical disabilities. If you have specific requirements due to disabilities, you are encouraged to inform during the application process or at any time during your employment. At Persistent, your potential will be unleashed. Join us at persistent.com/careers to explore exciting opportunities.,

As an Engineer at Eaton India Innovation Center, Center for Secure Cyber-physical Systems, located in Magarpatta City, Pune, you will be joining the team responsible for Eatons Foreseer product. **Role Overview:** - You will be working in the Software Domain and must possess a strong passion for it. - It is essential for you to uphold ethical values with transparency in your work. - Quick learning ability and adaptability to new technical domains are key traits for this role. - You will be expected to lead the team from the front and take accountability for assigned charters that align with the overall goals of software, web, desktop, and database technologies and solutions. - Quality should be a top priority for you, along with a commitment to meeting deadlines consistently. **Key Responsibilities:** - Design, optimize, and maintain large-scale, high-performance data solutions. - Collaborate closely with cross-functional teams to transform raw data into actionable business insights. - Drive continuous improvements in data quality, performance, and architecture. - Mentor others and foster a culture of innovation and excellence. - Deliver robust and scalable solutions to enable data-driven decision-making. **Qualifications Required:** - Bachelors Degree in Computer Science/Software Engineering/Information Technology/Electronics Engineering from an accredited institution. - Preferred - Masters Degree in Computer Science/Software Engineering from an accredited institution. - 8 to 12 years of hands-on experience with at least one of the following systems: Greenplum, Oracle, SQL Server, PostgreSQL, or Click House. - Familiarity with data processing tools such as Python Pandas, SQL Alchemy, or Polars. - Advanced SQL skills for working with relational databases, including performance tuning and troubleshooting. **Skills Required:** - Proficiency in SQL performance tuning and issue resolution. - Extensive experience in processing large-scale and complex big data environments. - Proficient in resolving ETL performance issues in Linux environments. - Strong understanding of star schema, snowflake schema, and Kimball data modeling methodologies. - Experience in data quality management for the data warehouse. - Collaboration with the Algorithm team on data engineering and data science algorithm development. - Work closely with the Product team to design effective data fulfillment solutions. - Continuous enhancement and improvement of the existing Business Analysis Module. - Delivering forward-thinking database code that is high quality, performant, maintainable, and extensible. - Self-learning capabilities to master cutting-edge machine learning, business intelligence, and database technologies. **Good to have:** - Proven expertise in ETL performance optimization and efficient data ingestion. - Familiarity with at least one business intelligence or data visualization platform such as Power BI, Superset, or Tabular. As an Engineer at Eaton India Innovation Center, Center for Secure Cyber-physical Systems, located in Magarpatta City, Pune, you will be joining the team responsible for Eatons Foreseer product. **Role Overview:** - You will be working in the Software Domain and must possess a strong passion for it. - It is essential for you to uphold ethical values with transparency in your work. - Quick learning ability and adaptability to new technical domains are key traits for this role. - You will be expected to lead the team from the front and take accountability for assigned charters that align with the overall goals of software, web, desktop, and database technologies and solutions. - Quality should be a top priority for you, along with a commitment to meeting deadlines consistently. **Key Responsibilities:** - Design, optimize, and maintain large-scale, high-performance data solutions. - Collaborate closely with cross-functional teams to transform raw data into actionable business insights. - Drive continuous improvements in data quality, performance, and architecture. - Mentor others and foster a culture of innovation and excellence. - Deliver robust and scalable solutions to enable data-driven decision-making. **Qualifications Required:** - Bachelors Degree in Computer Science/Software Engineering/Information Technology/Electronics Engineering from an accredited institution. - Preferred - Masters Degree in Computer Science/Software Engineering from an accredited institution. - 8 to 12 years of hands-on experience with at least one of the following systems: Greenplum, Oracle, SQL Server, PostgreSQL, or Click House. - Familiarity with data processing tools such as Python Pandas, SQL Alchemy, or Polars. - Advanced SQL skills for working with relational databases, including performance tuning and troubleshooting. **Skills Required:** - Proficiency in SQL performance tuning and issue resolution. - Extensive experience in processing large-scale and complex big data environments. - Proficient in resolving ETL

As a BI Architect at Persistent Ltd., your role involves designing, developing, and implementing scalable and efficient Business Intelligence (BI) solutions using tools like Power BI, Tableau, and modern data platforms. You will work closely with stakeholders to understand business needs and translate them into actionable data insights and visualizations. **Key Responsibilities:** - Design and implement end-to-end BI solutions using Tableau and Power BI. - Develop semantic models, dashboards, and reports to support business decision-making. - Create and maintain data models, ETL pipelines, and data warehouses. - Optimize performance of BI solutions and ensure data accuracy and consistency. - Integrate AI/ML features such as Power BI Copilot, Smart Narratives, AutoML, and natural language querying. - Collaborate with cross-functional teams (finance, sales, operations) to gather requirements. - Implement data governance, security, and compliance frameworks. - Mentor junior BI developers and analysts. **Qualifications Required:** - Strong expertise in Power BI including semantic models, DAX, Paginated Reports, Q&A visual. - Proficiency in Tableau covering Desktop, Server, Cloud, and LOD Expressions. - Solid SQL skills and experience with relational databases (SQL Server, PostgreSQL, Oracle). - Experience with ETL tools (e.g., Talend, Informatica) and data modeling (Star/Snowflake schemas). - Familiarity with cloud platforms such as Azure, AWS, Google BigQuery. - Bonus: Knowledge of Python or R for data manipulation and AI/ML integration. Persistent Ltd. offers a competitive salary and benefits package, with a culture focused on talent development and growth opportunities. You will have the chance to work with cutting-edge technologies in an inclusive and people-centric work environment. Employee engagement initiatives include project parties, flexible work hours, Long Service awards, annual health check-ups, and insurance coverage for self, spouse, two children, and parents. Persistent Ltd. is committed to fostering diversity and inclusion in the workplace, welcoming applications from all qualified individuals, including those with disabilities and regardless of gender or gender preference. The company supports hybrid work and flexible hours to accommodate diverse lifestyles, and the office is accessibility-friendly with ergonomic setups and assistive technologies for employees with physical disabilities.,

Role Overview: Our world is transforming, and at PTC, you will be part of a global team of nearly 7,000 individuals who are leading the way in bringing the physical and digital worlds together. As a member of the Business Intelligence team, you will play a crucial role in delivering enhancements and bug-fixes critical to PTC's business teams. Your main responsibilities will include development, unit testing, and delivering functionalities that help improve operations and create better products. Key Responsibilities: - Work as part of a project team to attend daily scrums, collaborate with BI team members and business users to understand requirements, design, develop, and deliver critical business solutions - Monitor daily jobs and resolve any issues that arise - Utilize strong development skills, effective communication, and problem-solving capabilities - Utilize reporting and analytics tools such as Qlik, Oracle BI, Informatica ETL, Oracle Analytics Cloud, and MDM - Work with ERP data sources including Oracle EBS and Salesforce - Participate in Agile projects and manage multiple priorities in a complex environment - Collaborate with individuals at all levels of the organization and international team members - Demonstrate excellent written and verbal communication skills, facilitate discussions, perform demonstrations, provide updates, and identify issues/risks Qualifications Required: - 2+ years of experience working with reporting and analytics tools - Experience with dimensional modeling and design - Knowledge of systems like Oracle EBS and Salesforce - Experience working on agile teams and ability to manage multiple priorities - Bachelor's Degree in Data Science, Computer Science, Information Technology, or related field ,

Role Overview: As an AVP, Data Modeller within Deutsche Bank's Data Governance and Architecture team for Private Bank, you will be a key driver in shaping the bank's enterprise data landscape. You will apply your extensive expertise (12-15 years) in data modeling and architecture to enforce data governance standards, optimize data models for regulatory reporting (e.g., Risk, Finance, Treasury), and ensure alignment with the overall enterprise data strategy. Your role will involve close collaboration with senior stakeholders in both the business and technology domains, focusing on leveraging data for business benefits while ensuring stringent regulatory compliance. You will transition from a hands-on engineer to a strategic leader, focusing on complex architectural challenges and process optimization. Key Responsibilities: - Own and maintain the Private Bank's contribution to the Deutsche Bank Enterprise Logical and Physical Data models, ensuring its accuracy, integrity, and usefulness for the Private Bank business. - Translate the complex data requirements of group functions (Risk, Finance, Treasury, Regulatory Reporting) into robust data models, aligning data producers and consumers effectively. - Act as a key liaison and subject matter expert, supporting Private Bank stakeholders and internal experts in delivering relevant data, aligning their needs with enterprise data model standards. - Work directly with the Group Chief Data Office and Private Bank stakeholders to optimize requirements management, data modeling processes, and data provisioning standards. - Utilize your in-depth knowledge of how data and data quality impacts processes across the retail sector to inform data modeling and provisioning, particularly for non-financial risk (NFR) reporting and control frameworks. - Address the challenges of data harmonization and provisioning by designing efficient data models that simplify data flows and replace legacy point-to-point connections with standardized formats. Qualifications Required: - Professional Experience: 12-15 years of overall experience, with significant time spent in data modeling and data architecture within the financial services industry, ideally with a focus on Private or Retail Banking. - Domain Knowledge: In-depth understanding of financial products, processes, and the data lifecycle within the Private and/or Retail Banking sectors. Proven experience in data modeling for regulatory reporting (e.g., Risk, Finance). - Modeling with UML & Object Oriented Modelling: Create and maintain robust data models using standard notations, including Unified Modeling Language (UML) Class Models for representing logical and physical data entities. Good to have Object-Oriented Modelling experience. - Proven expertise in relational, dimensional, and modern data modeling techniques. Experience designing for complex data structures, including multi-domain, hierarchical, and unstructured data across enterprise systems, cloud platforms (GCP, Azure, AWS), and specialized big data environments. - Extensive, hands-on experience with enterprise data architecture, including logical and physical data modeling, data governance frameworks, and harmonized data provisioning. - Data Modeling Tools: Expert proficiency with data modeling tools such as PowerDesigner, ER/Studio, Erwin, or similar. - Exceptional project and senior stakeholder management capabilities, with the ability to build and maintain strong relationships across different functions and seniority levels. - Strong understanding of database technologies (relational and cloud-based), Big Data technologies, and data integration patterns. Knowledge of XMI, XML, JSON, or similar data communication languages is an advantage.,