Bring your Software Engineering to the next level and become an integral part of an agile team that's constantly pushing the envelope to enhance, build, and deliver top-notch technology products.

As a Software Engineer at JPMorgan Chase within Corporate Investment Bank Data Solutions, 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. Drive significant business impact through your capabilities and contributions and apply deep technical expertise and problem-solving methodologies to tackle a diverse array of challenges that span multiple technologies and applications.

Job responsibilities

Operates on big financial and non-financial data using modern parallel data analytics tools.Contributes to the design and architecture of the data management platform.Possesses strong hands-on working experience on core Java v.17 or abovePossesses experience working on databases like PostgresUtilizes the latest cloud technology and infrastructure to perform analysis at scale, preferably AWS.Works with Tech, Product and other data partners to develop and implement data engineering use cases.Leverages technical skills to source and prepare data from a variety of data sources including traditional databases, SQL, no-SQL, and Cloud. Builds and maintain dataset documentation and metadata.Evaluates the current data architecture and shape the future state data architecture and roadmap.Works closely with data analytics staff within our team and partner teams to optimize solutions and develop / foster new ideas.Develops solutions to make the product supportable and scalable.

 

Required qualifications, capabilities, and skills

Formal training or certification on software engineering concepts and proficient applied experienceExpert level Java application development experience using Java 17 or higher, Spring boot, relational databases (Postgres, Oracle, etc)Experience with Kubernetes, AWS experience or any cloud experienceHands on traditional Database Skills (Postgres, Oracle, or SQL Server).  Strong SQL skills needed. Data Architecture skills and experience building enterprise scale data solutions.Experience building performant, decoupled, testable, maintainable code and fine tuning application response / performance testing using industry-wide technology trends and best practicesExperience working with Maven, Jenkins build pipelines, Sonar and Unit testing frameworks including Junit5, Cucumber or similar.Experience with at least one other coding language (Python, Scala, Node.js etc.)Ability to communicate at all levels of the organization including senior executive level.

 

Preferred qualifications, capabilities, and skills

Basic understanding of financial marketsExperience with Graph Database such as Neo4J