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 at JPMorgan Chase within the Consumer and Community Banking,  you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.

 

Job 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 problemsDesign, develop, and manage ETL jobs, data marts, and event collection and processing tools.Build data pipelines and tooling to support stakeholders across the project.Create secure and high-quality production code and maintain algorithms that run synchronously with appropriate systems.Participate in regular code reviews to maintain best code quality and adhere to best practices.Work effectively in a team environment and contribute to team goals.Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systemsProactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architectureContributes to software engineering communities of practice and events that explore new and emerging technologies

 

Required qualifications, capabilities, and skills

Formal training or certification on data engineering concepts and 3+ years applied experienceProficiency in one or more programming languages such as Python, Java, or Scala.Ability to design and implement scalable data pipelines for batch and real-time data processing.Experience with big data technologies such as Spark, EMR, etc.Experience with cloud platforms such as AWS, Snowflake, Databricks etc. Experience with unix or Python shell scripting.Overall knowledge of Software Development Life CycleExperience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages.Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security.

 

Preferred qualifications, capabilities, and skills

Knowledge of modern data lake processes – registration, orchestration, authentication, authorization etc.Experience with Kubernetes for container orchestration, including deploying, scaling, and managing containerized applications.Certifications in relevant technologies or platforms, such as AWS Certified Big Data – Specialty, Google Professional Data Engineer, or Microsoft Certified: Azure Data Engineer Associate, can be advantageous.Relevant industry experience, preferably in a data engineering role.Familiarity with LLM frameworks such as LangChain, OpenLLM, and Llama Index.Experience in data visualization tool like Tableau, Qlik, etc. Experience using AI (e.g LLM, Codeium) for developer productivity