Data Engineer

manage delivery timelines, and ensure adherence to development and documentation standards.

Technical Requirements

• Data Engineering & Warehousing:
  8+ years of experience delivering enterprise data warehouse and data management solutions, preferably within insurance or BFSI environments.
• SQL & PL/SQL Expertise:
  Strong handson expertise in SQL and PL/SQL, including complex joins, stored procedures, functions, bulk data processing, and performance tuning.
• Programming (Python):
  Working knowledge of Python for data processing, automation, validations, and integration workflows.
• ETL & Data Integration:
  Experience working on multiple data management initiatives, including data ingestion, transformation, reconciliation, and downstream analytics enablement.
• Analytics & BI Platforms:
  Handson experience supporting or enabling Qlik Sense, Power BI, or Tableau, including data preparation, performance optimization, and semantic layer design.
• Data Modeling:
  Strong experience with dimensional modeling, ODS design, and enterprise data models for reporting and analytics.
• Delivery & Governance:
  Understanding of enterprise delivery models, production support, batch monitoring, release management, and data governance practices.
• Insurance Domain (Preferred):
  Handson experience with insurance processes and systems, including policy, claims, premiums, renewals, endorsements, and regulatory reporting.