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I
Senior Data Engineer Databricks & PySpark - 8+ years (Pune)
IAT Networks Verified employer
Actively hiring · Posted 9d ago · JEV2610AAFF73D512
SalarySalary not disclosed
Experience8–12 yrs
LocationPune, Maharashtra
Work modeHybrid · Full time
Openings1
IndustryIT Services & Consulting
Job description
Senior Data Engineer Databricks
Location: Pune (Hinjewadi) / Gurgaon
Work Mode: Hybrid
Experience: 810 Years
CTC: 12.1725 LPA
Mandatory Skills
- 8+ years in Data Engineering
- 23+ 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.
Compensation: 1,217,[hidden],500,000.00 per year
Work Location: In person .
Key skills
How to apply
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- Apply with one tap — your profile is shared directly with IAT Networks.
- Track your application and get updates by email and WhatsApp.
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