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Data Engineer III

JP Morgan Chase & Co.

India · On-site Full-time Senior Today

About the role

About

Be part of a dynamic team where your distinctive skills will contribute to a winning culture and team.

As a Data Engineer III at JPMorgan Chase within the Corporate & Investment Bank, you serve as a seasoned member of an agile team to design and deliver trusted data collection, storage, access, and analytics solutions in a secure, stable, and scalable way.

Responsibilities

  • Supports review of controls to ensure sufficient protection of enterprise data
  • Advises and makes custom configuration changes in one to two tools to generate a product at the business or customer request
  • Updates logical or physical data models based on new use cases
  • Frequently uses SQL and understands NoSQL databases and their niche in the marketplace
  • Adds to team culture of diversity, opportunity, inclusion, and respect
  • Requires main skills in PySpark, SparkSQL, Databricks, AWS, etc.

Required Qualifications, Capabilities, and Skills

  • Formal training or certification on Data Engineering concepts and 3+ years applied experience
  • Experience across the data lifecycle
  • Advanced at SQL (e.g., joins and aggregations)
  • Working understanding of NoSQL databases
  • Significant experience with statistical data analysis and ability to determine appropriate tools and data patterns to perform analysis
  • Experience customizing changes in a tool to generate product

Preferred Qualifications, Capabilities, and Skills

(No specific items listed)

Requirements

  • Formal training or certification on Data Engineering concepts and 3+ years applied experience
  • Experience across the data lifecycle
  • Advanced at SQL (e.g., joins and aggregations)
  • Working understanding of NoSQL databases
  • Significant experience with statistical data analysis and ability to determine appropriate tools and data patterns to perform analysis
  • Experience customizing changes in a tool to generate product

Responsibilities

  • Supports review of controls to ensure sufficient protection of enterprise data
  • Advises and makes custom configuration changes in one to two tools to generate a product at the business or customer request
  • Updates logical or physical data models based on new use cases
  • Frequently uses SQL and understands NoSQL databases and their niche in the marketplace
  • Adds to team culture of diversity, opportunity, inclusion, and respect

Skills

AWSData BricksNoSQLPysparkSQLSparkSQL

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