Location: Pune (Hinjewadi) / Gurgaon
Work Mode: Hybrid
Experience: 8–10 Years
CTC: ₹12.17–25 LPA
Mandatory Skills
- 8+ years in Data Engineering
- 2–3+ years of hands-on Databricks experience
- Solid PySpark, Python, SQL and Spark SQL
- Legacy ETL/code migration to PySpark and Databricks
- Delta Lake, data modelling and pipeline optimization
- Databricks Jobs and workflow orchestration
- Cloud experience: Azure, AWS or GCP
- Git and CI/CD
Mandatory Certification
Databricks Certified Data Engineer Associate or Professional.
Responsibilities
Design and maintain scalable Databricks pipelines, migrate legacy ETL processes to PySpark, optimize Spark jobs, implement data-quality checks and resolve production pipeline issues.
Pay: ₹1,217,000.00 - ₹2,500,000.00 per year
Work Location: In person
📌 Senior Data Engineer – Databricks (Pune)
🏢 IAT Networks
📍 Pune
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