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IN_Manager_Databricks Data Engineer_GCC_Advisory_Bangalore
PwC India (company site, opens in a new tab)7–12 yrsBengaluruOn-siteDirect career pageEst. 22–38 LPA
Posted 17d ago
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Job description
Structured overview of role & requirements
About This Role
- Design, build, and maintain scalable, high-performance data pipelines on the Databricks Lakehouse Platform using Apache Spark, PySpark, and Delta Lake.
- Collaborate with analytics, AI/ML, and business teams to support data consumption, ensure data quality, governance, and optimize performance and cost efficiency of Spark jobs.
- Provide production support, troubleshoot data pipeline issues, document technical designs, and mentor junior engineers following enterprise security and compliance standards.
Minimum Requirements
- 7+ years of experience as a Data Engineer with strong expertise in Databricks, Apache Spark, PySpark, and Spark SQL.
- Bachelor's or Master's degree in Computer Science, Engineering, or related field with 60% or above; degrees preferred in Bachelor of Engineering or Bachelor of Technology.
- Experience with Delta Lake, data warehousing, ETL/ELT patterns, and exposure to at least one cloud platform: Azure, AWS, or GCP.
- Advanced SQL skills and understanding of distributed computing concepts.
Ideal Candidate Profile
- Experienced in designing and operating end-to-end data pipelines on Databricks with proficiency in Delta Lake and Lakehouse architecture.
- Familiarity with AI/ML workflows, data governance (Unity Catalog), and automation including CI/CD for data pipelines.
- Capable of optimizing Spark jobs for performance and cost, mentoring junior staff, and managing production support in an Agile environment.