J
JPMorgan Chase•2h ago
Indeed

Data Engineer III

Bengaluru, Karnataka
Senior Level

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Full Job Description

ROLE OVERVIEW As a Data Engineer III at JPMorgan Chase's Commercial & Investment Bank, you will design scalable data pipelines using PySpark/Databricks on AWS to support business objectives.

KEY RESPONSIBILITIES
  • Design and maintain high-volume batch and streaming big data pipelines using PySpark/Spark.
  • Lead data modeling, solution design, and architecture for scalable data products.
  • Develop reliable ingestion workflows ensuring performance and quality on AWS S3 and cloud services.
  • Create optimized SQL transformations (CTEs, window functions) and analytical datasets.
  • Tune Spark workloads to resolve issues like data skew and memory optimization.
  • Collaborate with cross-functional teams using GitHub/Bitbucket for version control.

SKILLS & QUALIFICATIONS
  • Experience: 3+ years in Data Engineering or Big Data Engineering.
  • Technical Stack: Expert SQL, Python production coding, Apache Spark/PySpark performance tuning, Databricks platform expertise.
  • Data Architecture: Strong data warehousing knowledge (dimensional modeling, SCDs) and AWS services proficiency.
  • Pipeline Types: Batch processing and real-time streaming solutions.

Company

J

JPMorgan Chase

JPMorgan Chase is a historic financial institution offering innovative solutions to consumers, businesses, and global clients under J.P. Morgan and Chase brands.

Bengaluru, Karnataka
Posted on Indeed

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