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Senior specialization reduces density, but Pune metro and general Data Engineer demand increase competition.
Databricks, Spark, and cloud data engineering skills are highly transferable across industries.
Explicit 8+ years and mandatory Databricks/Spark/cloud skills make technical filtering strict.
Design, develop, optimize, and maintain scalable data pipelines using Databricks and Apache Spark (PySpark).
Lead and contribute to the migration of enterprise data workloads from AWS-based platforms (Glue/Redshift) to Databricks.
Implement and manage Delta Lake Medallion architectures, batch and streaming pipelines, and enforce 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 Terraform (IAC), Delta Lake, SQL, and Python.
Location requirement: Pune (Hybrid).
Experienced in building scalable, production-grade cloud-native data platforms using Databricks and Spark.
Capable of collaborating cross-functionally and mentoring junior engineers in a complex data modernization environment.
Familiar with data governance, security best practices, and migration from AWS data services to Databricks.