Azure Data Lake, Databricks, ADF, PySpark, SQL, Kafka7+ years of experience in data engineering with strong expertise in Azure Data Lake, Databricks, and ADF. • Hands-on expertise in SQL and PySpark 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 NoSQL engines: SQL Server, Oracle, Azure SQL, and Cosmos DB. • Experience with Informatica PowerCenter, Informatica IDMC, or equivalent cloud data integration tools.
Good-to-Have • Insurance domain knowledge (Policy, Claims, Billing, Underwriting, Actuarial, Regulatory data). • Experience with Azure DevOps (AzDO) and GitHub-based CI/CD pipelines. • Practical usage of Copilot for data engineering and development productivity. • Exposure to Generative AI / GenAI use cases in data platforms and analytics. • Familiarity with Maestro or similar enterprise schedulers, and data
Qualifications: BACHELOR OF ENGINEERING
