Job Description N Role - Data Modeller N Required Technical Skill Set Conceptual, Logical & Physical Data Modeling, ERWIN Tool,SQL & Database Design Data Analysis & Data Profiling |Data Dictionary & Metadata Management Data Lineage and Impact Analysis Normalization & Data Modeling Best Practices N Desired Experience Range : 5 - 15 years N Location of Requirement: Hyderabad, Pune, Bangalore, Chennai Nn-------------------------------------------------------------------------------- NDesired Competencies (Technical/Behavioral Competency) Nn 5+ years of experience in Data Modeling with expertise in Conceptual, Logical, and Physical Data Models N Hands-on experience with ERwin, N Strong proficiency in SQL, database design, and Data Warehousing concepts. N Experience in Source-to-Target Mapping, data profiling, and data analysis N Deep understanding of Metadata Management, Data Lineage, and Data Governance practices. Nn-------------------------------------------------------------------------------------- Nn Experience with OpenMetadata, Collibra, Informatica EDC/Axon, or similar metadata management tools. N Exposure to AWS, Snowflake, Databricks, or up-to-date cloud data platforms. N Knowledge of Data Governance, Data Quality, and Data Observability frameworks. N Experience with Data Lineage, Impact Analysis, and Business Glossary Management. N Understanding of API/JSON schema modeling and integration patterns. N Familiarity with Data Lake, Big Data,



and Analytics architectures N Exposure to Agile delivery methodologies and stakeholder management in large-scale data transformation programs. N Relevant certificationsin Data Management, Cloud Technologies, or Banking Domain. Nn----------------------------------------------------------------------------------------- NResponsibility of / Expectations from the Role Nn Design and maintain Conceptual, Logical, and Physical Data Models aligned to business and enterprise data architecture standards. N Collaborate with business stakeholders, data architects, analysts, and engineering teams to translate business requirements into scalable data models. N Develop and maintain source-to-target mappings, data dictionaries, metadata, and business glossaries. Perform data analysis, profiling, lineage, and impact assessments to support data integration and transformation initiatives. N Ensure adherence to data governance, data quality, and regulatory compliance standards across banking data assets. Support enterprise metadata management and data catalog initiatives to improve data discoverability and usability. N Review and optimize database schemas for performance, scalability, and maintainability. Drive best practices in data modeling, documentation, and standards across project teams. N Work closely with cross-functional teams in an Agile environment to deliver data solutions that meet business and regulatory requirements. N

📌 Data Modeller (Vasanthanagar)
🏢 Tata Consultancy Services
📍 Vasanthanagar