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.
- Valuable-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

Location
- Bengaluru

Job Function
- TECHNOLOGY

Role
- Engineer

Job Id
- 417135

Desired Skills
- Azure | Microsoft Azure

Qualifications : BACHELOR OF ENGINEERING

📌 Azure Databricks (Bengaluru)
🏢 Tata Consultancy Services
📍 Bengaluru