- Design and maintain up-to-date versions of conceptual, logical and physical data models for advanced analytics and reporting for fraud risk management.
- Define appropriate partition strategy for productive query response of tables with almost billion rows of data.
- Ensure the data model complies with data modeling standards and data governance standards followed by the Bank.
- Collaborate with data scientists to ensure the data model supports feature engineering of ML models to detect frauds in transactions.
- Guide ETL and report development team, if required, with the optimal query paths for accessing data.
- Ensure the data model has capability to trace the lineage of data attributes from source to target.
- Ensure the data model design supports auditing of data saved in the tables.

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📌 Data Modeler (Mumbai)
🏢 Sigma Allied Services
📍 Mumbai