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
Robust 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 Skilled.
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 (India)
🏢 IAT Networks
📍 India
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