Back
Popular data-engineer role in Pune with common Databricks skills yields medium competition.
Core data engineering skills are transferable, though Databricks specialization raises domain sensitivity to medium.
Explicit 8+ years plus mandatory Databricks/Spark/Delta skills make filters high.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Design, develop, and optimize scalable data pipelines using Databricks, Apache Spark, and Delta Lake architectures.
Lead AWS to Databricks enterprise data migration initiatives, contributing to data modernization efforts.
Collaborate with analytics and AI/ML teams to deliver reliable data solutions, while implementing data quality, security, and governance best practices.
8+ years of experience in Data Engineering.
Strong hands-on experience with Databricks and Apache Spark (PySpark preferred).
Experience with cloud-native data platforms (Azure or AWS) and Delta Lake.
Work Experience Required: 8+ years; Location: Pune (Hybrid)
Experienced in building production-grade, cost-efficient data pipelines with performance optimization focus.
Familiar with data governance, security, and migration initiatives in large-scale enterprise environments.
Comfortable working cross-functionally with analytics, AI/ML teams, and mentoring junior engineers.