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Metro location and popular data title increase applicants, offset by seniority and niche Databricks requirement.
Medium—core data engineering skills transfer across industries, but SAP ingestion and Databricks specialization narrow fit.
High due to explicit 8+ years requirement and mandatory Databricks, Spark, and cloud expertise.
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Build and scale modern, cloud-native data platforms using Databricks and Apache Spark.
Lead migration of enterprise data workloads from AWS-based platforms to Databricks as part of data modernization.
Design, develop, optimize batch and streaming data pipelines, ensuring performance, cost efficiency, and data governance.
8+ years of experience in Data Engineering.
Strong hands-on experience with Databricks and Apache Spark (PySpark preferred).
Experience with Delta Lake, Terraform (IAC), SQL, Python, and cloud-native data architectures.
Location: Pune (Hybrid).
Experienced in building scalable, production-grade data pipelines and implementing data quality and governance best practices.
Able to collaborate with cross-functional teams and mentor junior engineers, indicating leadership and communication skills.
Familiarity with data migration from AWS (Glue/Redshift) to Databricks and knowledge of DevOps best practices for data solutions.