Job Description

You're ready to gain the skills and experience needed to grow within your role and advance your career -- and we have the perfect software engineering opportunity for you.


As a Software Engineer II at JPMorgan Chase within the Employee Platforms team, you will be part of an agile team dedicated to enhancing, designing, and delivering the software components of the firm's cutting-edge technology products in a secure, stable, and scalable manner. In your role as an emerging member of the software engineering team, you will execute software solutions by designing, developing, and technically troubleshooting various components within a technical product, application, or system, while acquiring the skills and experience necessary for growth in your position.

Job responsibilities

Manage data integration and data analysis of disparate systems. Build extensible data acquisition and integration solutions to meet the functional and non-functional requirements of the client. Implement processes and logic to extract, transform, and distribute data across one or more data stores from a wide variety of sources. Provide problem-solving expertise and complex analysis of data to develop business intelligence integration designs. Interface with other internal product development teams as well as cross-functional teams (Product Management, Integration Engineering, Quality Engineering, System Admin Teams). Work with remote and geographically distributed teams to enable building the right products, using the right building blocks, and making them consumable by other products easily. Demonstrate excellent communication, presentation, interpersonal, and analytical skills

Required qualifications, capabilities, and skills

Formal training or certification on software engineering concepts and 2+ years applied experience Hands on experience in data integration projects using Big Data Technologies, preferably related to human resources analytics. Strong experience in CICD using Jenkins, Git, Artifactory, Yaml, Maven for Cloud deployments. Hands-on experience with a minimum of 3 years on Spark and Scala. Good knowledge of Big Data querying tools, such as Pig, Hive, and Impala. Strong experience in integrating data from different types of file-storage formats like Parquet, ORC, Avro, Sequence files, etc. Strong technical understanding in building scalable, high-performance distributed services/systems. Strong knowledge of Data Warehousing and Data Lake concepts. Strong experience with Java open-source and API standards. Possesses strong problem-solving, troubleshooting, and analytical skills. Experience in technologies like Oracle/SQL and NoSQL data stores such as DynamoDB.

Preferred qualifications, capabilities, and skills

Familiarity with modern front-end technologies Experience in AWS Data Warehousing and database platforms preferred. Exposure to cloud technologies * Ability to quickly learn new technologies in a dynamic environment.