IN_Senior Associate__Databricks Data Engineer__GCC_Advisory_Bangalore
PwC India (company site, opens in a new tab)4–7 yrsBengaluruOn-siteDirect career pageEst. 12–20 LPA
Posted 1d ago
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Job description
Structured overview of role & requirements
About This Role
- Design, build, and maintain end-to-end scalable data pipelines on Databricks Lakehouse Platform using Apache Spark, PySpark, and Delta Lake.
- Optimize data processing workflows including batch and incremental processing, ensuring data quality, lineage, and governance adherence.
- Collaborate with analytics, AI/ML, and business teams; provide production support and mentor junior engineers.
Minimum Requirements
- 4+ years experience as Data Engineer with strong expertise in Databricks, Apache Spark (PySpark, Spark SQL), and Delta Lake.
- Proficient in advanced SQL, ETL/ELT patterns, data warehousing concepts, and at least one cloud platform (Azure, AWS, or GCP).
- Bachelor’s or Master’s degree in Computer Science, Engineering, or related field with 60%+ marks.
- Work Experience Required: 4-7 years.
Ideal Candidate Profile
- Experienced working in Agile environments developing and optimizing cloud-native, distributed data architectures on Databricks Lakehouse.
- Skilled in optimizing Spark jobs for performance and cost efficiency and capable of supporting AI/ML workload collaborations.
- Able to lead with technical mentorship, documentation, and best practices implementation, with preferred knowledge of Unity Catalog, Auto Loader, CI/CD pipelines, and databricks certifications.