Responsibility:
- 6+ years of experience in data engineering with robust 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.
- 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 tools like Precisely or equivalent.
📌 Senior Azure Databricks Data Engineer lead (Bengaluru)
🏢 Tata Consultancy Services
📍 Bengaluru
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