Software Engineer III - ETL

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 problems


* Design, 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 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

Required qualifications, capabilities, and skills


* Formal training or certification on data engineering concepts and 3+ years applied experience


* Proficiency 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 Cycle


* Experience 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 - ...