ERWIN, Data Modelling

Role Overview
Data Modeller with strong hands-on expertise in ERWIN Data Modeler to design, develop, and maintain conceptual, logical, and physical data models. The ideal candidate will collaborate with business stakeholders, data architects, and engineering teams to ensure data models support business needs, data governance, and enterprise data management standards. Key Responsibilities • Develop and maintain conceptual, logical, and physical data models using ERWIN Data Modeler. • Analyze business requirements and translate them into scalable and efficient data models. • Define data structures, relationships, constraints, and metadata to support enterprise data initiatives. • Work closely with data architects and engineering teams to ensure alignment with enterprise data architecture standards. • Conduct data profiling, identify data quality issues, and propose remediation plans. • Ensure models adhere to best practices in data governance, naming conventions, normalization, and performance. • Design and document data flows, lineage, and mappings across systems. • Participate in database design reviews and collaborate with ETL/ELT teams for implementation. • Maintain version control of models and manage updates using ERWIN repository. • Support impact analysis for changes to existing models and systems. • Provide guidance to developers and analysts on data modeling concepts and standards. Required Skills :

• 5+ years of experience as a Data Modeller or in a similar data-focused role.
  • Strong hands-on experience with ERWIN Data Modeler (conceptual, logical & physical modeling). • Excellent understanding of relational databases, dimensional modeling, and data warehousing concepts. • Strong knowledge of SQL and database platforms (e.g., Oracle, SQL Server, PostgreSQL, Snowflake, Teradata). • Experience with data governance, metadata management, and data quality frameworks. • Ability to interpret complex business requirements and convert them into efficient data