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Tier-1 brand, mid-level generalist role, and Bangalore metro drive high competition.
Core data engineering skills transfer across industries, but Databricks focus raises domain specificity moderately.
Explicit 3-8 years plus mandatory Databricks, Spark and cloud skills make screening strict.
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Design, build, and maintain scalable end-to-end data pipelines using Databricks platform including PySpark, Spark SQL, and Delta Lake.
Collaborate with analytics, AI/ML, and business teams to support data consumption, ensure data quality, governance, and optimize performance and cost of Spark jobs.
Provide production support, troubleshoot data pipeline issues, document technical designs, and mentor junior engineers.
3+ years of experience as a Data Engineer with strong expertise in Databricks, Apache Spark, PySpark, Spark SQL, and Delta Lake.
Advanced SQL skills and exposure to at least one cloud platform (Azure, AWS, or GCP).
Bachelor's or Master’s degree in Computer Science, Engineering, or related field with 60% or above.
Work Experience Required: 3 to 8 years.
Experience implementing batch and incremental data processing with Delta Lake and multi-hop architectures in Databricks.
Familiarity with data governance tools like Unity Catalog, CI/CD for data pipelines, and automation using Python.
Comfortable working in Agile teams and collaborating cross-functionally with data scientists, analysts, and architects.