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AWS Data 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
Senior Software Engineer
In-Person
5,000+ Employees
5+ years of experience
Finance · Enterprise SaaS
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Description For AWS Data Engineer

As a Lead Software Engineer at JPMorgan Chase within the Prime Data & Analytics Technology group, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way.

The role involves working with AWS Data Engineering, focusing on Glue/PySpark, Redshift, and Airflow. You'll be responsible for dimensional modeling, ETL & ELT processes, and optimizing storage/compute/query operations in the cloud environment.

Key responsibilities include:

  • Developing secure high-quality production code
  • Leading technical evaluations with vendors and internal teams
  • Implementing creative software solutions and architectural designs
  • Driving operational stability improvements
  • Leading communities of practice across Software Engineering

Required skills:

  • Strong AWS Data Engineering expertise
  • Advanced programming skills
  • Experience with CI/CD and agile methodologies
  • In-depth knowledge of financial services IT systems
  • Practical cloud native experience
  • Proficiency in automation and continuous delivery

You'll be working within the Commercial & Investment Bank division, a global leader across banking, markets, securities services and payments, serving corporations and institutions worldwide. This role offers an opportunity to impact critical technology solutions while working with cutting-edge cloud and data technologies.

The position combines technical leadership with hands-on development, requiring both architectural vision and practical implementation skills. You'll be part of a team that values diversity, equity, and inclusion while working on solutions that serve the world's most prominent financial institutions.

Last updated 3 months ago

Responsibilities For AWS Data Engineer

  • Strong AWS Data Engineering with Glue/PySpark, Redshift, Airflow
  • Hands on experience in Dimensional Modelling, ETL & ELT
  • Executes creative software solutions and design
  • Develops secure high-quality production code
  • Identifies opportunities to eliminate or automate recurring issues
  • Leads evaluation sessions with external vendors and internal teams
  • Leads communities of practice across Software Engineering

Requirements For AWS Data Engineer

Python
Kubernetes
  • Hands-on practical experience delivering system design, application development, testing, and operational stability
  • Advanced in one or more programming languages
  • Proficiency in automation and continuous delivery methods
  • Advanced understanding of agile methodologies such as CI/CD
  • Strong AWS Data Engineering skills with Glue/PySpark, Redshift, Airflow
  • In-depth knowledge of the financial services industry and their IT systems
  • Practical cloud native experience

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