Software Engineer II - Platform Engineer/Databricks

JPMorganChase • Jersey City, NJ

1d

About The Position

This is an exciting and rewarding opportunity to advance a software engineering career. The Chief Data & Analytics Office (CDAO) at JPMorgan Chase is responsible for accelerating the firm’s data and analytics journey, which includes ensuring data quality, integrity, and security, as well as leveraging data to generate insights and drive decision-making. The CDAO also develops and implements solutions supporting commercial goals by utilizing artificial intelligence and machine learning technologies to create new products, improve productivity, and enhance risk management effectively and responsibly. As a Software Engineer within the Chief Data Analytics Office - AIML Data Platforms Team at JPMorgan Chase, the individual will be an integral part of an agile team focused on enhancing, building, and delivering trusted, market-leading technology products securely, stably, and scalably. This core technical contributor will be responsible for conducting critical technology solutions across multiple technical areas within various business functions to support the firm’s business objectives.

Requirements

• Formal training or certification on software engineering concepts and 2+ years applied experience
• Hands-on practical experience in system design, application development, testing, and operational stability
• Hands-on experience with Python and/or Java application program development with use of automated unit testing
• Hands-on experience with AWS services including provisioning infrastructure using automated tools
• Hands-on experience with GitHub / Bitbucket code versioning tool, Jenkins build tool and pypi / maven artifactory integrations
• Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages
• Knowledge of Big Data distributed compute frameworks like Spark and Terraform

Nice To Haves

• Hands-on experience with Big Data Spark Data Pipeline development
• Hands-on experience with Terraform Enterprise Infrastructure provisioning
• Hands-on experience with Databricks
• Knowledge about Platform Administration, Monitoring and Resiliency

Responsibilities

• Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems
• Solves the companies most challenging cloud data platform problems by building innovative technical solutions around Data Lake tools
• Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture
• Designs, implements, and maintains a managed AWS Databricks platform, and provides engineering and operational support for the platform to SRE and app teams.
• Performs platform design, set-up and configuration, workspace administration, resource monitoring, providing engineering support to data engineering teams, Data Science/ML, and Application/integration teams.
• Adds to team culture of diversity, opportunity, inclusion, and respect

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed
• Number of Employees: 5,001-10,000 employees