Software Engineer Iii-etl/pyspark

JPMorgan Chase JPMorgan Chase · Banking · Wilmington, DE +1 · Consumer & Community Banking

Software Engineer III-ETL/PySpark at JPMorgan Chase within the Consumer and Community Banking Data Technology team, responsible for enhancing, building, and delivering technology products. The role involves executing software solutions, design, development, and technical troubleshooting, developing secure high-quality production code, and identifying opportunities for automation and improvement.

What you'd actually do

  1. Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems
  2. Develops secure high-quality production code
  3. Contributes to software engineering communities of practice and events that explore new and emerging technologies.
  4. Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems
  5. Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture

Skills

Required

  • Formal training or certification on software engineering concepts and 3+ years applied experience
  • Previous experience in Data Engineering with background in both legacy and modern tech stack - Ab Initio, Teradata, PySpark, AWS Cloud, and Snowflake
  • Expertise in Python programming language and SQL
  • Hands-on practical experience delivering system design, application development, testing, and operational stability
  • Demonstrated proficiency in automation and continuous delivery methods
  • Demonstrated proficiency in all aspects of the Software Development Life Cycle
  • Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
  • Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)
  • In-depth knowledge of the financial services industry and their IT systems
  • Practical cloud native experience

Nice to have

  • Previous experience working on credit card related projects
  • Working knowledge of DBT, Airflow, Data Modelling