Kolkata, Chennai, Hyderabad, Pune, Mumbai and Bhuvaneshwar. Experience Range:
5-15 Years Must-Have
7+ years of experience in data engineering with strong expertise in Azure Data Lake, Databricks, and ADF. Hands-on expertise in SQL and Py Spark or Scala for building complex ETL/ELT solutions. Proven track record with batch & real-time ingestion, Kafka, and large-scale big data processing. Experience with relational and No SQL engines: SQL Server, Oracle, Azure SQL, and Cosmos DB. Experience with Informatica Power Center, Informatica IDMC, or equivalent cloud data integration tools. Positive-to-Have
Insurance domain knowledge (Policy, Claims, Billing, Underwriting, Actuarial, Regulatory data). Experience with Azure Dev Ops (Az DO) and Git Hub-based CI/CD pipelines. Practical usage of Copilot for data engineering and development productivity. Exposure to Generative AI / Gen AI use cases in data platforms and analytics. Familiarity with Maestro or similar enterprise schedulers, and data tools like Precisely or equivalent.