Software Engineer III-ETL/PySpark

JPMorgan Chase & Co.•Wilmington, DE

About The Position

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, 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. 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 firm’s business objectives.

Requirements

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 Haves

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

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