Data Engineer - Data & AI

Job Description

• Own and manage end-to-end data pipelines from source systems to Enterprise Data Warehouse (DWH) and Fabric Lakehouse / SQL DWH.
• Ensure robust ETL/ELT frameworks, data quality checks, reconciliation, and performance optimization.
• Drive automation of daily, monthly, and regulatory MIS, including IRDA and IIB reports.
• Ensure adherence to data governance, audit, and compliance standards required for Life Insurance.
• Lead design, development, and deployment of Power BI dashboards for:

1. Management & leadership reporting
2. Sales, Agency, Bancassurance, RRB, Credit Life
3. Operations, Renewals, Issuance, Claims, HR

• Implement semantic models, optimized DAX, and reusable datasets.
• Enable one-click regulatory and management reporting and embed dashboards across platforms.
• Drive migration from legacy reporting (SSRS / Excel-based MIS) to Power BI on Fabric.
• Manage and mentor a team of MIS Developers / BI Analysts.
• Plan work allocation, review deliverables, and ensure TAT, accuracy, and stability of MIS.
• Act as the single point of accountability for MIS delivery to business, compliance, and leadership stakeholders.
• Coordinate with Data Engineering, Infra, Security, and Business teams.
• Deep ownership of IRDA regulatory reporting, including issuance, WIP, renewals, channel-wise and product-wise MIS.
• Strong understanding of Life Insurance processes:

1. New Business & Issuance
2. Renewals & Persistency
3. Distribution Channels (Agency, Banca, RRB, Digital)

• Ensure audit readiness, traceability, and data lineage for all regulatory submissions.
• Lead modernization initiatives using:

1. Microsoft Fabric (Lakehouse, Warehouse, Pipelines)
2. SQL Server / Azure SQL / Fabric SQL DWH

• Optimize queries, indexing, and data models for high-volume MIS workloads.
• Partner with Infra teams to move away from monolithic reporting architectures and improve scalability.

Desirable :

• Minimum 3–5 years in a lead or team management role
• Strong experience in Life Insurance or BFSI domain (IRDA exposure mandatory)
• Bachelor's degree in Engineering, Computer Science, or equivalent