39 Logical Data Modeling Jobs nearby Nagpur

You will be responsible for creating detailed dashboards and interactive visual reports using Looker Studio. Your main focus will be on communicating with business units to improve data visualization, transparency, and drive insightful business strategies. Additionally, you will need a strong knowledge of SQL and data modeling to translate business requirements into effective dashboards and reports. Defining key performance indicators (KPIs) with specific objectives and benchmarking performance will also be part of your role. - Create detailed dashboards and interactive visual reports using Looker Studio - Communicate with business units to improve data visualization and transparency - Translate business requirements into dashboards and reports - Define key performance indicators (KPIs) with specific objectives and benchmark performance - Understanding of dimensions and metrics in depth with respect to data sources - Strong background in data analysis, SQL, and Looker - Experience in data visualization tools like Tableau, Power BI, and Looker Studio (an added advantage) - Good troubleshooting and analytical skills - Understanding of data visualization and storytelling - Excellent communication skills to engage with clients and internal teams - Ability to drive project responsibilities proactively - Strong analytical and logical ability - GCP certification in Looker or Data Engineering preferred - Experience in handling complex SQL queries and performance tuning in BigQuery (Note: Mandatory skills include ANSI-SQL, Dimensional Data Modeling, and Google Looker.),

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.,

As a Data Domain Architect, you will play a crucial role in driving solutions and strategies related to data within the organization. Your responsibilities will include: - Defining data (metadata), identifying systems of record and authoritative sources, creating data quality rules, data flow diagrams, and applying firm-wide standards and controls. - Creating conceptual and logical models to describe specific data domains, informing the physical design of data-related projects, and consulting enterprise and industry models. - Profiling, wrangling, and preparing data from various sources to support analytical efforts, including writing data transformation logic in languages like Python, SAS, or Scala. - Conducting business process analysis, identifying necessary data to support processes, and evaluating the suitability of requested data for specific processes. - Engaging in research and development with emerging technologies, assessing their relevance to business use cases, and documenting their recommended applications within the organization. - Collaborating with Tech, Product, and CIB data partners to research, define, and implement use cases, working closely with data analytics and data product owner staff to optimize solutions and drive innovation. Qualifications and skills required for this role: - 3+ years of relevant work experience in software development, data/ML engineering, data science, or business intelligence. - Bachelor's degree in Computer Science, Financial Engineering, MIS, Mathematics, Statistics, or another quantitative field. - Strong analytical thinking, problem-solving abilities, and effective communication skills to convey complex information to diverse audiences. - Experience or knowledge in data technologies such as data warehousing, ETL, data quality concepts, Business Intelligence tools, analytical tools, unstructured data, or machine learning. - Proficiency in relational database systems like Teradata and Oracle, with advanced SQL skills. - Knowledge and hands-on experience with cloud platforms like Databricks or Snowflake. - Hands-on experience with data modeling, proficiency in SQL, SAS, or Scala, Python languages, and understanding of advanced statistics. - Development of domain expertise within the data architecture domain.,

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

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: You will be responsible for conducting performance testing at Wolters Kluwer India Pvt Ltd's Pune Global In-house center (GIC). Your primary focus will be on performance testing and monitoring using tools like Load Runner, Visual Studio, and JMeter. Additionally, you should have knowledge of cloud infrastructure, especially Azure, and be proficient in C/JS or C# programming with OOPs skills. Your logical reasoning, problem-solving, communication skills, and attitude will play a crucial role in this position. Key Responsibilities: - Identify and validate test objectives, and implement the defined test approach. - Develop scripts using required techniques and workload modeling to implement the test approach. - Execute tests, understand issues for troubleshooting, and communicate execution issues effectively. - Review test results, draw hypotheses from preliminary data analysis, and collaborate with stakeholders for effective communication. - Create and manage test data, execute tests in multiple environments as per the plan. - Log and track defects, and support the triage process. Qualification Required: - 2-5 years of experience in performance testing. - Working knowledge of Performance testing and Monitoring tools such as Load Runner, Visual Studio, and JMeter. - Knowledge of cloud infrastructure, particularly Azure. - Proficiency in C/JS or C# programming with OOPs skills. - Good logical reasoning, problem-solving, and communication skills. - Basic experience in databases, particularly SQL server.,

As a Big Data Cloud Engineer, your primary responsibility is to build scalable, reliable, and cost-effective solutions for both Cloud and on-premises environments. You will focus on maintaining quality, adhering to best-practice coding standards, and ensuring cost-effectiveness. Additionally, you will work on developing and testing Cloud-based applications to support the migration of development teams to the cloud. Key Responsibilities: - Work on data warehouse platforms such as Snowflake, Redshift, Databricks, and Teradata - Design conceptual, logical, and physical data models for enterprise-level data warehouses - Apply dimensional modeling techniques effectively - Utilize data modeling tools like Erwin, Visio, or similar - Demonstrate expertise in SQL, ETL processes, and BI modeling - Experience with BI reporting tools like Power BI, Tableau Qualifications Required: - 10-14 years of experience in Big Data Cloud Engineering - Proficiency in Spark, Python, AWS (Glue, Athena, Redshift, etc.), SQL, PostgreSQL - Strong understanding of enterprise architecture and strategic direction - Ability to develop end-to-end solutions with a focus on performance, quality, maintainability, cost, and testability.,

As a Data Engineering Manager at our company, you will play a crucial role in leading the data engineering team to deliver high-quality data solutions for our clients. Your responsibilities will include: - Leading and guiding the team to design, implement, and deliver complex cloud-based data engineering and data warehousing projects independently or with minimal support. - Expertise in conceptualizing solution architecture and low-level design using a variety of data engineering and cloud hosting technologies. - Managing projects within a fast-paced agile ecosystem to ensure timely delivery of quality solutions. - Responsible for risk management, maintaining risk documentation, and implementing mitigation plans. - Driving continuous improvement in a Lean/Agile environment by implementing DevOps delivery approaches such as CI/CD, build automation, and deployments. - Demonstrating strong analytical skills and logical thinking to effectively analyze data, solve problems, and assess situations. - Managing client relationships independently and delivering results to clients while maintaining excellent communication skills. Qualifications required for this role include: - Bachelor's degree in Engineering or Technology (BE/B.Tech) and Master of Computer Application. - 8+ years of experience working with at least two ETL tools (Matillion, dbt, pyspark, Informatica, Talend) and two databases (Databricks, Redshift, Snowflake, SQL Server, Oracle). - Strong fundamentals in Data Warehousing, Data Integration, and Data Modeling concepts. - Experience with SQL building blocks, creating complex SQL queries and procedures. - Familiarity with AWS or Azure cloud services, data modeling, performance tuning, and regression testing. - Willingness to learn, take ownership of tasks, and excellent written/verbal communication skills. - Understanding and working experience with Pharma commercial data sets would be advantageous. - Hands-on experience with the scrum methodology (Sprint planning, execution, and retrospection). In addition to technical competencies, we value behavioral competencies such as teamwork, leadership, motivation to learn and grow, ownership, cultural fit, talent management, problem-solving skills, lifescience knowledge, communication skills, designing technical architecture, Agile methodologies, PySpark, AWS Data Pipeline, Data Modelling, Matillion, and Databricks.,

As a Senior Application Security Analyst in the CISO organization at Citi, your role involves providing application security services to Citi businesses throughout the Software Development Life Cycle (SDLC). You will be responsible for performing deep-dive source code reviews for development organizations and collaborating with teams to ensure proper remediation. **Key Responsibilities:** - Perform Static Application Security Testing (SAST) and Dynamic Application Security Testing (DAST). - Conduct manual source code reviews to identify vulnerabilities, including logical flaws, business logic bypasses, and insecure design patterns. - Review and validate automated testing results, prioritize actions for issue resolution, and perform application binary analysis when source code is not available. - Identify opportunities for automation, develop custom rules, standardize information security controls, and participate in engineering team calls to ensure proper scan coverage. - Design, develop, and implement AI/ML-driven utilities and models to enhance source code analysis and predict vulnerabilities. - Write formal security assessment reports for each application using the company's standard reporting format. - Direct the development and delivery of secure solutions, collaborate with application teams for timely remediation of security vulnerabilities, and provide guidance on secure coding best practices. - Manage security assessments for multiple projects simultaneously, ensuring project timelines are met. - Research and explore new testing tools and methodologies, and mentor junior team members. - Appropriately assess risk and drive compliance with applicable laws, rules, and regulations to safeguard Citigroup and its assets. **Qualifications:** - At least 12+ years of relevant experience in web development, source code review, or application security testing. - Deep understanding of application security principles, common vulnerabilities, and secure coding practices. - Development background in enterprise languages like Java/J2EE, C#, .NET, Python, JavaScript/Node.js. - Strong understanding of DevSecOps principles, CI/CD pipelines, and integrating automated security tools into SDLC. - Experience with commercial enterprise automated security testing tools such as Burp, Fortify, Checkmarx, Blackduck, Snyk. - Proficiency in leveraging SAST tools, manual code review techniques, and identifying complex vulnerabilities. - Experience in AI/ML development, including data modeling, algorithm design, and implementation using Python and relevant libraries/frameworks. - Familiarity with natural language processing (NLP) techniques for code analysis is a plus. - Professional certifications such as CISSP, CSSLP, GIAC, CEH are highly preferred or willingness to obtain. **Education:** - At least a bachelor's degree or equivalent experience. If you are interested in this role, please review the above responsibilities and qualifications to see if you are a good fit.,

As a Senior Software Java Developer at Barclays, you will be responsible for supporting the successful delivery of Location Strategy projects, ensuring they meet plan, budget, quality, and governance standards. Your role will involve spearheading the evolution of the digital landscape, driving innovation, and excellence to revolutionize digital offerings for unparalleled customer experiences. Key Responsibilities: - End to End designing, solutioning, and delivering changes and new initiatives. - Demonstrating good logical reasoning, problem-solving, performance tuning, and decision-making skills. - Developing APIs using REST and UI with Angular/React JS. - Utilizing extensive experience in Core Java, J2EE design, development on large-scale banking applications, and Cloud expertise. - Applying strong understanding of OO Designing, Programming Techniques, Data Modeling, Design Patterns. - Implementing Springboot, Spring, Javascript, JDBC, and relational SQL (preferably SQL Server). - Demonstrating working knowledge of application, web servers, Linux or other UNIX-based systems, workflow applications, and business rules engines like JBPM. - Possessing mentoring skills. Qualifications Required: - 5+ years of experience in Core Java, J2EE design, and development. - Proficiency in developing APIs using REST, UI development with Angular/React JS. - Extensive experience in Springboot, Spring, Javascript, JDBC, relational SQL. - Knowledge of Linux or other UNIX-based systems. - Hands-on experience with workflow applications and business rules engines. - Familiarity with SQL databases and experience in implementing CI/CD pipelines. - Knowledge of automated deployment processes and the Banking Domain. In this role based in Pune, your purpose will be to design, develop, and improve software utilizing various engineering methodologies to provide business, platform, and technology capabilities for customers and colleagues. Additional Company Details: You will be assessed on key critical skills relevant for success in the role, such as risk and control management, change and transformation, business acumen, strategic thinking, and digital technology expertise. As a Senior Software Java Developer, you will be accountable for: - Developing and delivering high-quality software solutions using industry-aligned programming languages, frameworks, and tools. - Collaborating with product managers, designers, and engineers to define software requirements and ensure alignment with business objectives. - Participating in code reviews, promoting code quality, and knowledge sharing. - Staying informed of industry technology trends and contributing to the organization's technology communities. - Adhering to secure coding practices and implementing effective unit testing practices. As an Analyst, you are expected to: - Consistently drive continuous improvement with in-depth technical knowledge and experience. - Lead and supervise a team, guide professional development, and coordinate team resources. - Take ownership of managing risk, strengthening controls, and embedding new policies/procedures for risk mitigation. - Demonstrate understanding of how areas coordinate and contribute to the organization's objectives. - Resolve problems, guide team members, and communicate complex information effectively. - Act as a contact point for stakeholders and build a network of contacts. All colleagues are expected to demonstrate Barclays Values of Respect, Integrity, Service, Excellence, and Stewardship, as well as the Barclays Mindset to Empower, Challenge, and Drive.,

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 Senior Business Analyst at an intermediate level in the Reference Data Management group within ISG Data Solutions at Citi, your role involves facilitating communication between business users and technologists. You will exchange information in a concise, logical, and understandable manner to contribute to continuous iterative exploration and investigation of business performance and metrics for gaining insights and driving business planning. **Key Responsibilities:** - Processing vendor data feeds - Mapping data - Analyzing and researching data - Working on Swift messages - Developing user interfaces - Ensuring timely and accurate data publishing to downstream clients - Collaborating with stakeholders, including IT, PM, and Operations partners - Creating business and function requirements - Developing interfaces - Defining EPICs and user stories based on client requirements - Data modeling, mapping, data mining, transformation - Proficiency in SQL - Working with data providers vendors (internal & external) - Documentation and user training **Qualifications Required:** - Possess 8+ years of relevant experience - Strong analytical, interpretive, and problem-solving skills - Interpersonal, management, and prioritization skills - Clear and concise communication - Self-motivation - Ability to work methodically under tight deadlines - Bachelor's degree or equivalent experience Citi is an equal opportunity and affirmative action employer, encouraging all qualified interested applicants to apply for career opportunities. If you require a reasonable accommodation due to a disability when using our search tools or applying for a career opportunity, please review the Accessibility at Citi guidelines.,

As a seasoned Data Architect with extensive experience in data modeling and architecting data solutions, particularly with Snowflake, your role will be crucial in ensuring the robustness, scalability, and efficiency of data systems. You will need to have 8-12 years of hands-on experience in designing, implementing, and optimizing data architectures to meet the evolving needs of the organization. **Key Responsibilities:** - **Data Architecture Design:** Develop, optimize, and oversee conceptual and logical data systems to meet both current and future business requirements. - **Data Modeling:** Create and maintain data models using Snowflake, ensuring data integrity, performance, and security. - **Solution Architecture:** Design and implement end-to-end data solutions, including data ingestion, transformation, storage, and access. - **Stakeholder Collaboration:** Work closely with business stakeholders, data scientists, and engineers to understand data requirements and translate them into technical specifications. - **Performance Optimization:** Monitor and improve data system performance, addressing scalability, efficiency, and data quality issues. - **Governance and Compliance:** Ensure data architectures comply with data governance policies, standards, and industry regulations. - **Technology Evaluation:** Stay current with emerging data technologies and assess their potential impact and value to the organization. - **Mentorship and Leadership:** Provide technical guidance and mentorship to junior data architects and engineers, fostering a culture of continuous learning and improvement. **Qualifications Required:** - 8-12 Years of Experience in data architecture and data modeling, specifically in Snowflake. - Proficiency in Snowflake data warehousing platform. - Strong understanding of data modeling concepts like normalization, denormalization, star schema, and snowflake schema. - Experience with ETL/ELT processes and tools. - Familiarity with data governance and data security best practices. - Knowledge of SQL and performance tuning for large-scale data systems. - Experience with cloud platforms such as AWS, Azure, or GCP and related data services. - Excellent problem-solving and analytical skills. - Strong communication and interpersonal skills, with the ability to translate technical concepts for non-technical stakeholders. This job is open for hiring at Pune OR Noida locations. It would be nice to have a Bachelors or masters degree in computer science, Information Technology, or a related field, and Snowflake certifications or other relevant industry certifications.,

Role Overview: Viridien is an advanced technology, digital, and Earth data company that focuses on pushing the boundaries of science to create a more prosperous and sustainable future. As a geophysicist at Viridien, you will have the opportunity to use physics and mathematics to solve real-world problems. You will be involved in employing cutting-edge signal processing, physics-based modeling, and imaging technology to build high-resolution 3D subsurface seismic images and models primarily for clients in the energy and natural resources sector. Through your work, you will develop expertise in signal processing, modeling, and imaging, as well as gain awareness of wider developments in the fields of geoscience and data science. Additionally, you will have the chance to build and maintain client relationships, manage technical projects, communicate effectively with team members and clients, and develop leadership and management skills for future growth in your career. Key Responsibilities: - Develop expertise in signal processing, modeling, and imaging - Build and maintain long-term client relationships through service excellence - Manage complex technical projects with multiple short- and long-term deadlines - Communicate effectively and collaborate with team members and clients - Develop cultural awareness through interaction with globally diverse clients and teams - Enhance leadership and management skills for contributing to the development of others - Opportunities to publish papers and present at industry conferences Qualifications Required: - Integrated or postgraduate Masters or PhD in Physics, Mathematics, Engineering, Geophysics, Astrophysics/Astronomy, Earth Sciences, or Natural Sciences with a Physics specialization - Exceptional performance at BSc level will also be considered - Logical approach to problem-solving - Technical knowledge in an area of applied mathematics or physics - Enthusiastic and curious attitude towards learning - Ability to adapt existing knowledge to a new field - Strong communication skills for conveying technical concepts - Evidence of leadership, teamwork, or customer service in university societies, extracurricular activities, volunteering, or work experience/internships Please note that due to the high volume of applications received, only candidates closely matching the role criteria will be contacted for an interview. Viridien is committed to providing an inclusive and transparent recruitment experience and ensuring equal employment opportunities for all professionals.,

Role Overview: You will be a senior-level individual contributor responsible for designing, developing, and maintaining database systems to ensure the performance, integrity, and security of data. As a subject matter expert on SQL Server, you will create and optimize complex stored procedures and database queries. Key Responsibilities: - Design, develop, and maintain high-performance, scalable database solutions using SQL Server. - Write, optimize, and maintain complex stored procedures, triggers, and user-defined functions. - Monitor and optimize database performance, identifying and resolving bottlenecks and issues. - Design and implement logical and physical data models to meet business requirements. - Ensure data integrity through constraints, data validation rules, and best practices. - Develop and maintain ETL processes to load and transform data into the database. - Collaborate with application developers, business analysts, and stakeholders to provide database solutions. Qualifications: - 10+ years of experience as a database developer, with a focus on SQL Server. - Technical Skills: - Expertise in SQL Server, including T-SQL, stored procedures, triggers, and performance tuning. - Strong understanding of data modeling concepts and experience with data modeling tools. - Experience with ETL tools and processes (e.g., SSIS) is a plus. - Soft Skills: - Strong analytical and problem-solving skills. - Meticulous attention to detail and commitment to data quality. - Ability to work independently and take ownership of projects. Education: A Master's degree in Computer Science or Statistics is required. If you are a person with a disability and need a reasonable accommodation to use search tools and/or apply for a career opportunity, review Accessibility at Citi. View Citi's EEO Policy Statement and the Know Your Rights poster.,

As a Business Intelligence Developer at our company, you will be responsible for the following key tasks: - Build user-centric business intelligence dashboards in Qlik Sense to deliver actionable insights for business stakeholders. - Create Qlik Sense extractor and transformer (.qvs) scripts for complex ETL tasks, including Set Analysis, Section Access, and Mashups. - Perform data extraction, transformation, and loading (ETL) from diverse sources using scripting and tools such as Pentaho or equivalent platforms. - Design and model databases, leveraging strong PLSQL/SQL skills with experience in RDBMS like Oracle and MS SQL Server. - Utilize Qlik Sense Visualization Extensions, Mashups, APIs, and Web Integration to enhance dashboard functionality and user experience. - Develop custom Qlik Sense extensions and visualizations using JavaScript, and integrate publicly available Extension Objects. - Communicate complex technical concepts clearly to both technical and non-technical stakeholders, providing regular updates and aligning solutions with business objectives. - Apply a strong commercial mindset to identify business priorities and leverage data to drive strategic outcomes. - Demonstrate leadership, collaboration, and project management skills in fast-paced, agile environments. Qualifications and skills required for this role include: - 10+ years of experience in software engineering and/or business intelligence development, with a proven track record in both domains. - 7+ years of hands-on experience in QlikView/Qlik Sense enterprise-grade development. - Strong expertise in PLSQL/SQL (Oracle or MS SQL) and data modeling. - Experience in Logical & Physical Data Modeling and Data Normalization. - 5+ years of ETL experience using tools like Pentaho. - Knowledge of DevOps, CI/CD automation, and cloud deployment. - Familiarity with web development technologies (HTML, CSS, JSON) and integrating BI solutions with web applications. - Ability to manage identity and access controls, including Section Access in Qlik environments. - Excellent communication, stakeholder management, and problem-solving skills. - Bachelor's degree in Computer Science, Information Technology, or a related field. Preferred qualifications and skills for this role include: - Qlik Sense/QlikView Certification. - Experience with Tableau or other BI tools. Masters or certifications in Qlik, cloud, or risk management are a plus. - Familiarity with version control and CI/CD tools (Git, Jules), as well as Technology Risk & Control experience or certifications. - Strong commercial mindset and ability to align technology solutions with business goals.,