8 Erwin Jobs nearby Tiruchirappalli

As a Senior Data Modeler at our organization, you will play a crucial role in defining and evolving our data architecture and modeling practices. You will collaborate with cross-functional teams, mentor others, and contribute to the development of enterprise data models. **Key Responsibilities:** - Assist in establishing and maintaining information architecture best practices aligned with the organization's data strategy - Drive data modeling initiatives and contribute to the overall data architecture design and development - Develop and maintain conceptual, logical, and physical data models following industry standards - Capture and manage metadata within the enterprise data catalog for accurate documentation - Evaluate proposed data models in purchased applications and ensure compliance with standards - Educate stakeholders on data strategy principles to promote a strong data culture - Ensure compliance with security and regulatory policies in enterprise information architecture - Collaborate with stakeholders to design effective data models meeting evolving requirements - Participate in design reviews at different stages of the development lifecycle **Qualifications Required:** - A university degree equivalent to BS/MS in Computer Science, Life Sciences, or related field - 5+ years of experience as a Business Analyst with expertise in business process reengineering and user requirement gathering - Proficient in data modeling, ERWin diagrams, data analytics, SQL, data warehousing, and business intelligence practices - Strong communication skills in English In addition to the key responsibilities and qualifications, it would be nice to have experience in the pharmaceutical industry, agile methodologies, team coordination, and familiarity with Collibra.,

As a Data Governance Lead, your role will involve driving enterprise-wide data governance, architecture, and management initiatives. You will play a crucial part in establishing data standards, ensuring data quality, and enabling secure, compliant, and value-driven data usage across the organization. **Key Responsibilities:** - Lead the implementation of data governance frameworks, policies, and standards. - Define and manage data ownership, stewardship roles, and accountability structures. - Ensure compliance with regulatory and privacy requirements (e.g., GDPR, SOX etc). - Design and maintain conceptual, logical, and physical data models. - Collaborate with business and technical teams to ensure models align with business needs. - Promote standardization and reuse of data assets across platforms. - Lead data migration strategies for legacy systems and cloud platforms. - Ensure data integrity, lineage, and quality during migrations. - Work with ETL and integration teams to streamline data flows. - Partner with BI teams to ensure data is structured for effective visualization. - Support dashboard and reporting initiatives with clean, well-governed data. - Promote self-service analytics through governed data catalogs. - Collaborate with InfoSec to implement data protection controls. - Ensure sensitive data is classified, encrypted, and accessed securely. - Monitor and audit data access and usage patterns. - Implement metadata management tools and practices. - Maintain data lineage documentation to support traceability and impact analysis. - Act as a liaison between business units, IT, and data teams. - Educate stakeholders on data governance principles and best practices. - Drive cultural change toward data-driven decision-making. **Required Qualifications:** - 10+ years of experience in data management, with at least 3 years in a data governance or architecture leadership role. - Excellent communication and stakeholder management skills. - Strong analytical and problem-solving abilities. - Experience in Agile project environments. - Experience in projects using Snowflake for data migration, data warehouse, and governance. - Strong understanding of DAMA-DMBOK principles. - Hands-on experience with data modeling tools (e.g., Erwin, PowerDesigner). - Experience with data governance platforms (e.g., Collibra, Informatica, Alation). - Familiarity with AWS cloud platform. - Knowledge of data privacy regulations and security frameworks. In this role, certifications such as CDMP (Certified Data Management Professional) are considered a plus.,

As a Data Analysis and Data Modelling professional with expertise in Snowflake & Oracle, you will be joining the team in Chennai, Tamil Nadu, India. Your responsibilities will include hands-on relational, dimensional, and/or analytic experience, working with databases such as Oracle, PostgreSQL, Snowflake, and Teradata. You will be involved in modeling, design, configuration, installation, performance tuning, and sandbox POC activities. Moreover, you will play a crucial role in defining data modelling standards, guidelines, and supporting large-scale data-driven implementations. - Hands-on experience in data modeling, ER diagram, and enterprise software design for relational and analytical systems - Good knowledge of metadata management, data modeling tools such as Erwin or ER Studio - Ability to define data modelling standards and guidelines for complex large-scale data implementations - Strong experience in data modeling activities supporting history handling time series data warehousing & data transformations - Strong SQL knowledge and work experience with databases such as Oracle, PostgreSQL, Snowflake, Teradata Qualifications Required: - Bachelors or masters degree in computer/data science or related technical experience - 7+ years of hands-on experience in relational, dimensional, and/or analytic data analysis - Good understanding of semantic data modeling concepts and multi-Fact model - Strong communication skills - Ready to work in 10:30 AM to 8:30 PM Shift - Flexible to work in Client Location Ramanujam IT park, Taramani, Chennai NTT DATA is a trusted global innovator of business and technology services, with a commitment to helping clients innovate, optimize, and transform for long-term success. With a diverse team of experts in over 50 countries and a robust partner ecosystem, NTT DATA offers services including business and technology consulting, data and artificial intelligence, industry solutions, and application development and management. As a part of the NTT Group, NTT DATA invests significantly in R&D to support organizations and society in moving confidently into the digital future. Visit us at us.nttdata.com.,

As a Principal Engineer- Data and Analytics, your role will involve developing and implementing data engineering projects, defining reference data architecture, and leading the selection, deployment, and management of Data tools, platforms, and infrastructure. You will be responsible for guiding a team of data engineers, overseeing the design and deployment of Data solutions, and driving partnerships with vendors for collaboration and capability building. Additionally, you will collaborate with client teams, propose tailored Data solutions, and lead client engagements from initiation to deployment. Key Responsibilities: - Develop and implement data engineering projects, including enterprise data hub or Big data platform - Define reference data architecture and differentiate new Data services/offerings - Lead the selection, deployment, and management of Data tools, platforms, and infrastructure - Guide a team of data engineers technically and oversee the design, development, and deployment of Data solutions - Drive partnerships with vendors for collaboration and capability building - Collaborate with client teams to propose tailored Data solutions and lead client engagements - Build re-usable Methodologies, Pipelines & Models for data science projects - Develop and implement data architecture solutions that support business requirements - Ensure compliance with regulatory and industry standards for data management and security - Develop and maintain data models, data warehouses, data lakes, and data marts - Maintain data quality, accuracy, and consistency across all data sources - Utilize data integration tools such as Informatica, Qlik Talend, and Apache NiFi - Experience with cloud computing platforms like AWS, Azure, or Google Cloud Platform - Proficiency in programming languages such as Python, Java, or Scala - Knowledge of data visualization tools such as Tableau, Power BI, or QlikView - Understanding of analytics and machine learning concepts and tools - Skilled in using relational database technologies and NoSQL databases - Strong expertise in cloud-based databases such as Azure datalake, Synapse, AWS Redshift, etc. - Knowledge of big data technologies like Hadoop, Spark, Snowflake, and Kafka - Ability to combine data from various sources into a centralized location using data integration techniques - People & Interpersonal Skills: Build and manage high-performing data teams, foster innovation and collaboration, work in diverse teams, and possess strong communication skills - Stay updated on the latest trends and developments in the Data domain Qualifications Required: - 10+ years of experience in the IT industry with a focus on Data engineering - 8+ years of data engineering or data architecture experience - Experience in RFP/proposals, presales activities, and business development - Masters or bachelors degree in relevant field - Ability to manage data projects and diverse teams - Experience in creating data and analytics solutions - Good knowledge of data visualization and reporting tools - Ability to normalize and standardize data as per Key KPIs and Metrics Please note that the above description is subject to your interpretations and might require adjustments based on your understanding of the role.,

Role Overview: You are a skilled ERM/EPM/IFRS17 Technical Consultant joining the OFS Consulting team with expertise in implementing OFSAA products, particularly in the Enterprise Risk Management (ERM), Enterprise Performance Management (EPM), and IFRS17 domains. Your role involves understanding client requirements, conducting workshops, taking care of technical delivery responsibilities, and supporting testing phases using Agile/Water-Scrum-Fall methodology. Key Responsibilities: - Understand client functional and business team requirements, and qualify them as per product functionality - Conduct workshops and trainings on product functional scope - Deliver mapping support, BRD preparation, configuration support, testing, and rollout - Work on Agile/Water-Scrum-Fall based development methodology - Support testing phases (System Testing, SIT, UAT, Production) ensuring quick turnaround of defect fixes Qualifications & Skills: Mandatory: - Graduate-level degree in Computer Science, Software Engineering, or Systems Engineering - Hands-on experience in installing and configuring OFSAA ERM/EPM/IFRS17 for large multi-country rollouts - Expertise in PLSQL, Oracle DB concepts, Webserver configurations, LDAP, ControlM, etc. - 2+ years experience in OFSAA ERM/EPM/IFRS17 product implementation Desired: - Experience in Agile methodologies, Oracle DB/PLSQL querying skills - Strong knowledge in OFSAA ERM/EPM/IFRS17 application installation, migration, configuration - Desire to upskill in areas like Machine Learning, Block Chain, etc. - Exposure to tools like Informatica, Datastage, Oracle BI Tools, etc. - Good understanding of Databases (Oracle, DB2, Exadata) - Working knowledge of job scheduling products like AutoSys and ControlM - Java, JSP, J2EE standards with Oracle database - Knowledge of Web Servers like WebSphere, WebLogic, etc. Additional Details of the Company: OFS Consulting is a team specialized in implementing Oracle Financial Services Analytical Application (OFSAA) products in various Tier 1, Tier 2, and Tier 3 banks and financial institutions globally. They have experience in deploying OFSAA product solutions across continents like Asia Pacific, Africa, Americas, Middle East, and Europe.,

As a candidate for this role, you should have a strong understanding of DBMS such as SQL Server and Oracle, along with proficiency in SQL. Experience with data modeling and design tools like ER Studio, Power Designer, or Erwin is often required. Additionally, familiarity with data integration and ETL processes is essential. Knowledge of data warehousing concepts will also be beneficial for this position.,

As a Senior Data Modeler at our company, you will play a crucial role in designing, implementing, and maintaining data models to enhance data quality, performance, and scalability. Collaborating with cross-functional teams, you will ensure that the data models align with business requirements and drive efficient data management. **Key Responsibilities:** - Design, implement, and maintain data models that support business requirements, ensuring high data quality, performance, and scalability. - Collaborate with data analysts, data architects, and business stakeholders to align data models with business needs. - Leverage expertise in Azure, Databricks, and data warehousing to create and manage data solutions. - Manage and optimize relational and NoSQL databases such as Teradata, SQL Server, Oracle, MySQL, MongoDB, and Cassandra. - Contribute to and enhance the ETL processes and data integration pipelines to ensure smooth data flows. - Apply data modeling principles and techniques, such as ERD and UML, to design and implement effective data models. - Stay up-to-date with industry trends and emerging technologies, such as big data technologies like Hadoop and Spark. - Develop and maintain data models using data modeling tools such as ER/Studio and Hackolade. - Drive the adoption of best practices and standards for data modeling within the organization. **Skills And Qualifications:** - Minimum of 6+ years of experience in data modeling, with a proven track record of implementing scalable and efficient data models. - Expertise in Azure and Databricks for building data solutions. - Proficiency in ER/Studio, Hackolade, and other data modeling tools. - Strong understanding of data modeling principles and techniques (e.g., ERD, UML). - Experience with relational databases (e.g., Teradata, SQL Server, Oracle, MySQL) and NoSQL databases (e.g., MongoDB, Cassandra). - Solid understanding of data warehousing, ETL processes, and data integration. - Familiarity with big data technologies such as Hadoop and Spark is an advantage. - Industry Knowledge: A background in supply chain is preferred but not mandatory. - Excellent analytical and problem-solving skills. - Strong communication skills, with the ability to interact with both technical and non-technical stakeholders. - Ability to work well in a collaborative, fast-paced environment. **Education:** - B.Tech in any branch or specialization This job requires expertise in data modeling, data warehousing, ETL processes, and various databases. Your experience and skills will be instrumental in driving efficient data management and aligning data models with business requirements.,

As a seasoned Senior Developer, your role will involve designing, developing, and maintaining complex database systems using PL/SQL and MySQL. You will be tasked with ensuring the performance, scalability, and security of the database systems. Your responsibilities will include: - Designing, developing, and maintaining complex database systems using PL/SQL and MySQL. - Writing efficient and well-documented SQL code, such as stored procedures, functions, and triggers. - Collaborating with cross-functional teams to identify and prioritize project requirements. - Participating in code reviews to ensure solutions align with coding standards and best practices. - Troubleshooting and resolving complex database issues, focusing on performance optimization and data integrity. - Staying updated with industry trends and emerging technologies to enhance the database systems continuously. Qualifications required for this role include: - 5-8 years of experience in database development, with expertise in PL/SQL and MySQL. - Strong proficiency in PL/SQL, including stored procedures, functions, and triggers. - Proficiency in MySQL, covering database design, development, and optimization. - Experience with database modeling tools like ERwin or Oracle Designer. - Strong understanding of database security, backup, and recovery procedures. - Excellent analytical, problem-solving, and communication skills. - Ability to work in a fast-paced environment and meet deadlines. Oracle is a world leader in cloud solutions, utilizing tomorrow's technology to address today's challenges. With a commitment to diversity and inclusivity, Oracle values diverse perspectives and backgrounds to drive innovation. Operating with integrity for over 40 years, Oracle partners with industry leaders across various sectors. Oracle offers global opportunities for its employees, promoting work-life balance and providing a competitive suite of benefits, including medical, life insurance, and retirement options. Employee well-being is a priority, and Oracle encourages community engagement through volunteer programs. Oracle is dedicated to inclusivity, ensuring people with disabilities are included in all stages of the employment process. Accessibility assistance or accommodation for disabilities can be requested by calling +1 888 404 2494, option one. Please note: Oracle is a United States Affirmative Action Employer.,

Job Description We are seeking an experienced Data Modeler with 4 to 9 years of experience to join our team.The ideal candidate will be responsible for designing implementing and supporting data structures that ensure data integrity and facilitate accurate timely information retrieval. The Data Modeler will work closely with analysts architects and database developers to design datasets that align with business requirements and technical constraints. Responsibilities Design and implement data models to support business requirements ensuring consistency and integration across various data sources. Develop and maintain conceptual logical and physical data models optimizing them for performance scalability and ease of use. Collaborate with stakeholders to identify data requirements and translate them into technical specifications. Ensure data models align with the organizations data architecture and data governance standards. Design and implement data integration processes using ETL extract transform load tools and technologies ensuring data quality and completeness. Work with database administrators to ensure database designs support business needs and are optimized for performance. Maintain and update data dictionaries metadata repositories and data modeling documentation. Troubleshoot and resolve issues related to data quality integration and model design. Provide guidance and mentorship to junior team members as needed. Stay current with industry best practices and emerging trends in data modeling and data architecture. Requirements 2 to 5 years of experience in developing data pipelines and solutions using Azure Data Factory ADF Azure Synapse Analytics and Databricks Strong proficiency in SQL TSQL and familiarity with Azure SQL Database andor Azure Synapse Analytics SQL pools Experience with ADF pipeline orchestration and data ingestion from various sources such as databases APIs and file systems Knowledge of Spark and Databricks for data processing transformations and data analytics Familiarity with data modeling and schema design in Azure Synapse and Azure SQL Databases Understanding of data integration data warehousing and ETL concepts Proficiency in Azure cloud services and infrastructure particularly related to data processing and analytics Strong problemsolving and troubleshooting skills Qualifications Bachelors degree in Computer Science Information Technology or a related field 4 to 9 years of experience in data modeling data architecture or related areas Proficiency in data modeling tools such as ERStudio Erwin or similar Strong understanding of relational databases data warehousing concepts and SQL Experience with big data technologies and platforms Hadoop Spark NoSQL databases is a plus Strong analytical problemsolving and communication skills Ability to work collaboratively in a team environment and with crossfunctional stakeholders Experience in AgileScrum development environments is advantageous

As a part of the Monotype Solutions India team, you will be contributing to the company's legacy of bringing brands to life through type and technology, including famed typefaces like Helvetica, Futura, and Times New Roman. Your role will involve collaborating with a cross-functional team of engineers on microservices and event-driven architectures to build next-generation features, products, and services. You will also be expected to lead, motivate, and mentor other team members with respect to technical challenges. Key Responsibilities: - Design and implement data models, including ER diagrams, dimensional modeling, and normalization techniques. - Work with relational databases (SQL Server, Oracle, PostgreSQL) and NoSQL databases (MongoDB, Cassandra). - Utilize data modeling tools such as ERwin, PowerDesigner, or similar tools. - Have knowledge of cloud data platforms and services (AWS, Azure, GCP). - Apply strong analytical and problem-solving skills to provide creative and innovative solutions. - Demonstrate excellent communication and stakeholder management abilities. Qualifications Required: - Bachelors or Masters degree in Computer Science, Information Systems, or related field. - Minimum 7-9 years of professional experience, with at least 5 years specifically in data architecture. - Proven experience in designing and implementing data models. - Proficiency in relational and NoSQL databases, data modeling tools, and cloud data platforms. - Strong analytical, problem-solving, and communication skills. Monotype is a global leader in fonts and offers a creative and innovative working environment in the software technology industry. Some benefits of working at Monotype include hybrid work arrangements, comprehensive medical insurance coverage, competitive compensation, development opportunities, retirement planning options, and more. Join us to be a part of a team that is passionate about design and technology.,

As a Data Migration Architect at our company, you will play a crucial role in managing the overall data architecture for all areas and domains of the enterprise. Your responsibilities will include working closely with the Senior Data Lead/Architect to develop the Migration Framework/scripts and oversee the mapping of data sources, data movement, interfaces, and analytics to ensure data quality. Key Responsibilities: - Gather and analyze business data requirements and model these needs - Set standards for data management and analyze the current state to conceive desired future state - Provide guidance on technical specifications, data modeling, and review proposed data marts and data models - Develop ETL processes for data migration, including reading data from the source and loading it to the destination - Cleanse data and write transformation logic for data transformation - Develop error handling strategies and a rollback mechanism for activities - Assist in QA and UAT activities - Liaise with the Change management teams as required Qualifications Required: - More than 8 years of experience with data architecture, large-scale data modeling, database design, and business requirements analysis - Expert level understanding of relational database concepts, dimensional database concepts, and database architecture and design - Experience with CA Erwin for developing Enterprise Data Models - Strong understanding of best practices in data modeling techniques, including normalization and dimensional modeling - Experience and Knowledge of Talend Data Integration Platform At Virtusa, we value teamwork, quality of life, professional and personal development. Join our global team of 27,000 professionals who care about your growth and provide exciting projects, opportunities, and work with state-of-the-art technologies throughout your career. We foster collaboration and seek to provide a dynamic environment for great minds to nurture new ideas and excellence.,

As a highly skilled Data Modeler with deep experience in the CPG domain, your role will involve designing scalable and business-aligned data models to support analytical and operational use cases across functions like Sales, Trade, Supply Chain, Marketing, and Finance. You will collaborate closely with business stakeholders and technical teams to ensure data structures accurately reflect business processes and drive actionable insights. **Key Responsibilities:** - Design and develop conceptual, logical, and physical data models aligned with CPG business requirements. - Collaborate with stakeholders to gather and interpret data requirements across domains such as Retail Execution, Customer 360, Trade Promotion, and Supply Chain. - Translate KPIs and business rules into structured models supporting reporting, data warehousing, and advanced analytics. - Apply industry-standard modelling techniques like dimensional modelling (star/snowflake), 3NF, and data vault. - Document models through ER diagrams, data dictionaries, and metadata to support governance and knowledge sharing. - Implement models on cloud platforms such as Snowflake, Databricks, or Azure Synapse. - Ensure modelling standards and best practices are followed for consistency and scalability. - Support BI and analytics teams by building models that enable effective self-service analytics and reporting. - Align models with data quality, lineage, and compliance frameworks. - Continuously optimize data models based on evolving business needs and system performance. **Qualifications Required:** - BE/BS/MTech/MS in Computer Science or equivalent work experience. - 5+ years of experience in data modelling with exposure to CPG domain preferred. - Proficient in dimensional modelling, 3NF, and data vault methodologies. - Hands-on experience with data modelling tools such as ER/Studio, Erwin, or dbt. - Strong understanding of SQL and data warehousing principles. - Experience working with modern cloud data platforms (Snowflake, Azure Synapse, Databricks). - Excellent communication skills to bridge business and technical teams. - Cloud certifications (e.g., Azure Data Engineer Associate, AWS Big Data Specialty, Google Data Engineer). - Knowledge of MDM concepts and tools, especially within the CPG context. - Familiarity with GS1 standards and product hierarchy management. - Exposure to Agile or SAFe delivery frameworks. - Certifications in data architecture or modelling (e.g., CDMP). - Prior experience leading data teams of 10-20+ members. - Strong ability to balance strategic thinking with hands-on implementation. This job requires a Data Modeler who can effectively work with data across various domains in the CPG industry, ensuring that the data models are efficient, scalable, and aligned with business requirements.,

As a Business Intelligence Data Modeler/Architect, your role involves collaborating with stakeholders to understand data requirements and business needs. You will design solutions in the form of Conceptual and Logic data models, optimize data models for performance, scalability, and ease of use, and maintain accuracy and consistency. Your expertise in BI tools, data profiling, modeling tools like Erwin, and analyzing unstructured data sources will be essential to provide BI solutions that facilitate reporting and dashboarding. You will communicate complex data concepts to non-technical stakeholders effectively. Responsibilities: - Interact with Business Users/ Business Relationship Managers to understand BI and analytical needs - Identify the right data sources and completeness to meet BI needs - Conduct data profiling to build entity relationships across multiple sources - Develop and maintain data dictionary for all data sources, build conceptual and logical data models, and optimize database design for acceptable performance - Implement data models into database platforms, ensure data integrity, and optimize data models for improved query efficiency - Collaborate with IT teams in ETL design discussions and identify effective reporting techniques - Create and maintain metadata describing the data model, including data lineage and definitions - Utilize data analyst skills to determine root cause problems for data integrity and quality issues - Define data storage strategy Qualifications: - 8+ years of IT work experience and 5+ years in a similar role of BI Data Modeler/Architect - Experience in Media & Entertainment is an added plus Required Skills: - Strong understanding of data modeling concepts (star schemas, snowflake schemas, highly normalized data models) - Proficiency in data modeling tools like Erwin - Familiarity with Data Warehouse database platforms such as Snowflake, Big Query, and Databricks - Knowledge and experience of at least one data profiling tool - Experience with ETL tools like DataStage/Informatica - Conceptual knowledge of BI tools like Business Objects/Tableau is beneficial - Deep understanding of data warehousing principles, cloud architecture, and SQL optimization - Excellent SQL programming skills, problem-solving skills, and communication skills - Demonstrated integrity, maturity, consistency in delivering projects on time, and proactive cross-functional communication Please note that the company's additional details were not provided in the job description.,

As a Sr. Data Engineer - Data Modeler for our client, a FTSE 250 global fintech company headquartered in London, you will be responsible for creating and implementing logical and physical data models to support structured and unstructured data across various platforms. Your role will involve collaborating with data architects, business analysts, and data consumers to ensure that data models meet business requirements and adhere to industry best practices. - Create and implement logical and physical data models across RDBMS and big data platforms. - Design and implement semantic data models to optimize data accessibility, performance, and usability for Business Intelligence (BI) and analytics. - Maintain documentation of data models including ERDs, DFDs, and data dictionaries for clarity and alignment across teams. - Develop metadata repositories and data lineage documentation to track data transformations and dependencies. - Gather requirements from business analysts, data engineers, and data consumers to translate business needs into data models. - Own the Model governance for any changes to the model from users. - Partner with data architects to ensure data models align with the data strategy and best practices in data management and integration. - Conduct regular data model reviews to incorporate changes in data platforms, evolving business requirements, and performance optimizations. - Ensure data models comply with data quality, security, and governance standards. - Analyze data lineage from source systems to the final semantic layer, identifying transformation rules and their impact on the physical data model. - Create data models that support migrations, conversions, and transformations as data platforms evolve and new standards are defined. - 7-10 years of experience as a Data Modeler or in a similar role, with expertise in data modeling principles. - 5+ years of hands-on experience in data modeling, databases, and data analysis. - Strong understanding of data modeling concepts, including normalization, denormalization, dimensional modeling, and Data Vault 2.0 methodology. - Proficiency in data modeling tools such as ER/Studio, ERwin, SQLDBMS, or Sparx Systems. - Hands-on experience with relational databases (RDBMS) such as PostgreSQL, Oracle, SQL Server, MySQL, and data warehousing solutions. - Knowledge of data integration, ETL/ELT workflows, and data migration. - Experience in Semantic Data Modeling and familiarity with data visualization tools. - Strong understanding of database management systems, SQL, query optimization, and programming languages like SQL, Python. - Experience in metadata management, data privacy standards, and compliance. - Expert knowledge of cloud-based data platforms (AWS, Azure, or GCP) and data Lakehouse architectures.,

As a Senior Data Modeler at our company, your role will involve the following responsibilities: - Own and Lead Data Modelling Activities - Evaluate data model based on existing systems - Apply organization and industry standards to the models - Discuss and document data modelling requirements with cross functional teams and business owners - Analyse requirements and provide data model along with source target mapping - Manage end to end data model development and provide support to all teams - Work with Business SMEs and Product owners to get the requirements - Capture Data mapping data transformation and business rules logic using source to target mapping Qualifications required for this role include: - Able to understand and translate business need to data models supporting long term solutions - Able to create conceptual and logical data models based on business and functional requirements - Good understanding of ER and dimensional data modelling - Should have implemented physical data models for a variety of RDBMS and cloud hosted databases - Strong SQL and analytical skill - Experience and knowledge on Banking Core Banking domain - Master Expert in Visual Paradigm Erwin data modelling tool - Good exposure on Banking industry reference models like BIAN etc - Good communication skill - Ability to influence all stakeholders and end consumers In addition to the mandatory skills mentioned above, it would be nice to have exposure to: - Multiple cloud data platforms - Collibra exposure - Knowledge of Data processing ETL - Experience in Data Governance - Familiar with API design and implementation - BIAN knowledge - Working in Agile delivery model - SQL knowledge Please share your resume at poornima@prachodayathglobal.com if you meet the experience requirements specified in the job description.,

As an erwin Data Modeler in Bengaluru South, your role involves developing and maintaining data models to support business needs. Your key responsibilities will include: - Designing and implementing database schemas - Analyzing system requirements - Ensuring data consistency and integrity - Creating data solutions that align with organizational goals - Collaborating with developers, analysts, and project teams to streamline data architecture To excel in this role, you are expected to have the following qualifications: - Proficiency in data modeling tools, including expertise in erwin Data Modeler and database schema design - Strong knowledge of relational databases (e.g., Oracle, SQL Server, MySQL) and expertise in their optimization and maintenance - Experience with data architecture, data integration, and ensuring data governance and consistency - Collaboration and problem-solving skills to work effectively with diverse teams including analysts and developers - Bachelor's degree in Computer Science, Information Systems, or a related field - Ability to work on-site in Bengaluru South and adapt to a contract role environment Additionally, knowledge of big data or NoSQL database systems is considered a plus.,

As a Data Modeler at Quantiphi, you will play a crucial role in designing and implementing data models for various applications such as Data Warehouse, Data Lake, DataMart, OLTP, and OLAP systems. Your responsibilities will include: - Utilizing your strong Conceptual, Logical, and Physical Data Modeling skills to create data mapping documents, write functional specifications, and design Entity-Relational, Data Vault, and Dimensional Data models. - Collaborating with the Data Management team to perform Data Extraction, Data Analysis, Data Cleansing, and Data Profiling using tools like Erwin, ER/Studio, and Informatica Analyst. - Recommending the best modeling approach to clients based on their requirements and target architecture. - Analyzing datasets, guiding the team in creating Source to Target Mapping and Data Dictionaries, and profiling data sets to generate insights. - Defining Data Modelling Best Practices and ensuring their implementation across projects. - Optimizing Data Models, defining ingestion logic, ingestion frequency, and data consumption patterns. - Working with the Quality Engineering team to devise the right testing strategy and drive automation in modeling activities. - Collaborating with stakeholders, architects, and analysts to design and develop the next-generation data platform. - Managing data modeling repository, supporting model-driven development, and defining/governing data modeling/design standards and best practices. In addition to the above responsibilities, you will need to possess the following required skills: - 10+ years of experience in hybrid data environments involving distributed and relational database technologies like Oracle, IMB DB2, and GCP. - Thorough understanding of data warehousing principles, architecture, and implementation in complex environments. - Expertise in OLTP, OLAP systems, Data Analysis, ETL tools, and data ingestion frameworks. - Experience in designing complex Dimensional data models, testing methodologies, and user acceptance testing. - Familiarity with cloud platforms such as AWS, Azure, GCP, Data Quality, Data Governance, and Industry Data Models. - Leadership experience with large teams, handling large datasets, agile methodology, and excellent communication skills. - Exposure to Data Modeling Tools like Erwin, Power Designer, ER/Studio, Enterprise Architect, and MagicDraw. Your role at Quantiphi will involve not only designing data models but also collaborating with various teams, driving projects to completion, and ensuring data integrity and governance. Your expertise will be instrumental in shaping the data architecture and analytics solutions for the company's clients.,

As a Data Modeler at PwC, you will play a crucial role in analyzing business needs, developing long-term data models, and ensuring the efficiency and consistency of data systems. Your expertise in data modeling, metadata management, and data system optimization will be key in driving the success of projects. Your responsibilities will include: - Analyzing and translating business needs into long-term solution data models. - Evaluating existing data systems and recommending improvements. - Defining rules to translate and transform data across data models. - Collaborating with the development team to create conceptual data models and data flows. - Developing best practices for data coding to ensure consistency within the system. - Reviewing modifications of existing systems for cross-compatibility. - Implementing data strategies and developing physical data models. - Updating and optimizing local and metadata models. - Utilizing canonical data modeling techniques to enhance data system efficiency. - Evaluating implemented data systems for variances, discrepancies, and efficiency. - Troubleshooting and optimizing data systems to ensure optimal performance. - Demonstrating strong expertise in relational and dimensional modeling (OLTP, OLAP). - Utilizing data modeling tools such as Erwin, ER/Studio, Visio, PowerDesigner. - Possessing proficiency in SQL and database management systems (Oracle, SQL Server, MySQL, PostgreSQL). - Having knowledge of NoSQL databases (MongoDB, Cassandra) and their data structures. - Working with data warehouses and BI tools (Snowflake, Redshift, BigQuery, Tableau, Power BI). - Familiarity with ETL processes, data integration, and data governance frameworks. - Showcasing strong analytical, problem-solving, and communication skills. Qualifications: - Bachelor's degree in Engineering or a related field. - 3 to 5 years of experience in data modeling or a related field. - 4+ years of hands-on experience with dimensional and relational data modeling. - Expert knowledge of metadata management and related tools. - Proficiency with data modeling tools such as Erwin, Power Designer, or Lucid. - Knowledge of transactional databases and data warehouses. Preferred Skills: - Experience in cloud-based data solutions (AWS, Azure, GCP). - Knowledge of big data technologies (Hadoop, Spark, Kafka). - Understanding of graph databases and real-time data processing. - Certifications in data management, modeling, or cloud data engineering. - Excellent communication and presentation skills. - Strong interpersonal skills to collaborate effectively with various teams.,

As a Data Modeler at our company, you will be responsible for analyzing and designing software requirement specifications. You will conduct Gap Analysis and User Acceptance Testing, prepare templates, reports, test plans, and test cases. Your role will involve developing module components and proxies, as well as reviewing code. Additionally, you will develop, test, and deploy UIs, create test scripts and scenarios, implement business processes, and define test data. It will be your responsibility to develop estimations and enhancements, prepare design patterns, and write stored procedures. You will work with tools such as Erwin, Cognos, Tableau, Oracle, Toad, SVN, Jira, Teradata, and Hadoop. This is a full-time position requiring 40 hours per week. Key Responsibilities: - Analyze and design software requirement specifications - Conduct Gap Analysis and User Acceptance Testing - Prepare templates, reports, test plans, and test cases - Develop module components and proxies, and review code - Develop, test, and deploy UIs - Develop test scripts and scenarios - Implement business processes and define test data - Develop estimations and enhancements - Prepare design patterns and write stored procedures - Work with tools such as Erwin, Cognos, Tableau, Oracle, Toad, SVN, Jira, Teradata, and Hadoop Qualifications Required: - Master's degree or equivalent in Computer Science, Electrical Engineering, Mechanical Engineering, or a related field (Bachelor's degree plus 5 years of progressive post baccalaureate experience will be accepted in lieu of a Master's) - 1 year of experience or 1 year of experience as a Data Analyst, Computer Systems Analyst, or related occupation - 1 year of experience analyzing and designing software requirement specifications, conducting Gap Analysis and User Acceptance Testing, and working with Erwin, Cognos, and Tableau (Note: No additional details of the company were present in the job description.),

As a talented and experienced Senior Data Modeler, you will be responsible for designing, implementing, and maintaining data models to enhance data quality, performance, and scalability. Collaborating with cross-functional teams, including data analysts, architects, and business stakeholders, you will ensure that the data models align with business requirements and drive efficient data management. Key Responsibilities: - Design, implement, and maintain data models that support business requirements, ensuring high data quality, performance, and scalability. - Collaborate with data analysts, data architects, and business stakeholders to align data models with business needs. - Leverage expertise in Azure, Databricks, and data warehousing to create and manage data solutions. - Manage and optimize relational and NoSQL databases such as Teradata, SQL Server, Oracle, MySQL, MongoDB, and Cassandra. - Contribute to and enhance the ETL processes and data integration pipelines to ensure smooth data flows. - Apply data modeling principles and techniques, such as ERD and UML, to design and implement effective data models. - Stay up-to-date with industry trends and emerging technologies, such as big data technologies like Hadoop and Spark. - Develop and maintain data models using data modeling tools such as ER/Studio and Hackolade. - Drive the adoption of best practices and standards for data modeling within the organization. Skills And Qualifications: - Minimum of 6+ years of experience in data modeling, with a proven track record of implementing scalable and efficient data models. - Expertise in Azure and Databricks for building data solutions. - Proficiency in ER/Studio, Hackolade, and other data modeling tools. - Strong understanding of data modeling principles and techniques (e.g., ERD, UML). - Experience with relational databases (e.g., Teradata, SQL Server, Oracle, MySQL) and NoSQL databases (e.g., MongoDB, Cassandra). - Solid understanding of data warehousing, ETL processes, and data integration. - Familiarity with big data technologies such as Hadoop and Spark is an advantage. - Industry Knowledge: A background in supply chain is preferred but not mandatory. - Excellent analytical and problem-solving skills. - Strong communication skills, with the ability to interact with both technical and non-technical stakeholders. - Ability to work well in a collaborative, fast-paced environment. Education: - B.Tech in any branch or specialization.,