Data Lake Engineer

J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors.
Data
Mid-Level Software Engineer
In-Person
5,000+ Employees
5+ years of experience
Finance · Enterprise SaaS

Description For Data Lake Engineer

Join JPMorgan Chase's Corporate Technology team as a Data Lake Engineer within the Chief Data and Analytics Office Development Team. You'll be integral to building and enhancing our data lake infrastructure that powers AI systems and various use cases. The role involves working with cutting-edge Big Data frameworks like Databricks and Spark in the public cloud environment. As a Software Engineer III, you'll create scalable coding frameworks, develop secure production code, and provide technical guidance to teams. The position offers the opportunity to work with advanced data technologies while contributing to a global financial leader's technology infrastructure. You'll be part of a team that values diversity, innovation, and technical excellence, working on projects that directly impact the firm's data and analytics capabilities.

Last updated 4 minutes ago

Responsibilities For Data Lake Engineer

  • Creates complex and scalable coding frameworks using appropriate software design frameworks
  • Develops secure and high quality production code, and reviews and debugs code written by the team
  • Regularly provides technical guidance and direction to support the business and its technical teams
  • Drives decisions that influence the product design, application functionality, and technical operations
  • Actively contributes to the engineering community
  • Adds to the team culture of diversity, equity, inclusion, and respect

Requirements For Data Lake Engineer

Python
Java
  • Formal training or certification on software engineering concepts
  • Extensive development experience using Python/SQL
  • Solid understanding of software applications and technical processes
  • Hands-on experience in data lake or data warehouse technologies (Spark, ETL, Databricks)
  • Experience in Computer Science, Computer Engineering, Mathematics, or related field
  • Currently working in an agile development environment
  • Hands-on practical experience delivering system design and development

Benefits For Data Lake Engineer

Medical Insurance
Vision Insurance
Dental Insurance
  • Equal opportunity employer
  • Reasonable accommodations for disabilities
  • Full time position

Interested in this job?

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