9 - 14 years
0 Lacs
Posted:4 days ago|
Platform:
Hybrid
Full Time
Design and develop conceptual, logical, and physical data models for enterprise and application-level databases.
Translate business requirements into well-structured data models that support analytics, reporting, and operational systems. Define and maintain data standards, naming conventions, and metadata for consistency across systems. Collaborate with data architects, engineers, and analysts to implement models into databases and data warehouses/lakes. Analyze existing data systems and provide recommendations for optimization, refactoring, and improvements. Create entity relationship diagrams (ERDs) and data flow diagrams to document data structures and relationships. Support data governance initiatives including data lineage, quality, and cataloging. Review and validate data models with business and technical stakeholders. Provide guidance on normalization, denormalization, and performance tuning of database designs.
Ensure models comply with organizational data policies, security, and regulatory requirements.
Data modelling, Normalization, Denormalization, Star and snowflake schemas, Medallion architecture, ERDLogical data model, Physical data model & Conceptual data model
Cygnus Professionals
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