
Lead Assistant Manager
- Gurgaon, Haryana
- Permanent
- Full-time
- Design and build automated, metadata-driven data pipelines for ingesting and transforming data across product, risk, finance, and marketing systems.
- Implement data integration frameworks that support the unified view of customer-level metrics.
- Enable account-level profitability computation by integrating defined revenue and cost parameter models into the data layer.
- Ensure data quality, validation controls, and reconciliation processes are embedded into every pipeline.
- Develop data structures that support real-time dashboarding and tactical strategy monitoring using Power BI or similar BI tools.
- Collaborate with risk and strategy teams to support segmentation, scenario simulation, and CLTV analytics.
- 5–8 years in data engineering, within financial services or retail banking.
- Expertise in SQL, Python, and modern ETL frameworks.
- Experience designing metadata-driven architecture.
- Strong understanding of data warehousing, data modeling, and cross-domain schema design.