Software Engineer III-ETLPySpark

We have an exciting and rewarding opportunity for you to take your software engineering career to the next level.

As a Software Engineer III-ETL/PySpark at JPMorgan Chase within the Consumer and Community Banking Data Technology team youare 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. As a core technical contributor you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firms business objectives.

Job responsibilities

• 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
• Develops secure high-quality production code
• Contributes to software engineering communities of practice and events that explore new and emerging technologies.
• Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems
• Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture
• Contributes to software engineering communities of practice and events that explore new and emerging technologies
• Adds to team culture of diversity opportunity inclusion and respect

Required qualifications capabilities and skills

• 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

Preferred qualifications capabilities and skills

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