- Design and build batch and streaming data pipelines using Azure, Databricks, and Kafka
- Develop ETL/ELT solutions using SQL, PySpark, or Scala
- Implement and support Data Lake / Lakehouse architectures
- Integrate data from legacy and modern platforms
- Apply data quality checks and support data governance basics (metadata, lineage, access controls)
Pay: ₹510,192.12 - ₹1,000,000.00 per year
Perks:
- Flexible schedule
- Paid time off
Work Location: In person
📌 Senior Data Engineer (Chennai)
🏢 Newbie Soft solution
📍 Chennai
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