Posted on: 18/06/2026
Key Responsibilities:
- Design, develop, and maintain ETL/ELT pipelines to ingest data from core lending systems, LOS, LMS, CRM, and finance systems into AWS Redshift.
- Build and optimize data warehouse models (fact and dimension tables) for housing finance analytics.
- Develop data models supporting loan lifecycle data including applications, sanctions, disbursements, repayments, foreclosures, NPA, and write-offs.
- Write and optimize complex SQL queries in MySQL and Redshift for performance and scalability.
- Implement incremental loads, CDC, batch processing, and reconciliation checks for financial data.
- Ensure data accuracy, completeness, and consistency, especially for regulatory and MIS reporting.
- Optimize Redshift performance using distribution styles, sort keys, and query tuning.
- Support and create Tableau dashboards for business MIS, portfolio monitoring, collections, credit, and management reporting.
- Collaborate with Risk, Finance, Compliance, Operations, and Business teams to understand reporting and analytics requirements.
- Monitor and troubleshoot ETL jobs and data pipeline issues.
- Maintain detailed technical and functional documentation.
- Ensure adherence to data security, audit, and compliance standards relevant to NBFCs.
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Posted in
Data Engineering
Functional Area
Data Engineering
Job Code
1646367