As a Software Engineer III at JPMorgan Chase within the Workforce Technology team, you are part of an agile team that works to enhance, design, and deliver the software components of the firm's state-of-the-art technology products in a secure, stable, and scalable way. As an emerging member of a software engineering team, you execute software solutions through the design, development, and technical troubleshooting of multiple components within a technical product, application, or system, while gaining the skills and experience needed to grow within your role.

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)

• Working 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

  Required qualifications, capabilities, and skills:

• Experience in data integration projects using Big Data Technologies
• Experience in AWS Data Warehousing and database platforms with hands-on delivery using EMR, S3, AWS Glue, Lambda, Apache Airflow and Infrastructure as Code (IaC) (e.g., Terraform/CloudFormation)
• Strong experience in CICD using Jenkins, Git, Artifactory, Yaml, Maven for Cloud deployments
• Hands on experience on Spark engineering with PySpark/Scala for building and optimizing scalable data pipelines
• Good knowledge of Big Data querying tools, such as Athena, RDS, Databricks
• Strong experience in integrating data from different types of file-storage formats like Parquet, ORC, Avro and table formats like Delta Lake or Iceberg
• Experience using AI-assisted developer productivity tools (e.g., GitHub Copilot) to speed up development, testing, and remediation
• Strong technical understanding in building scalable, high performance distributed services/systems
• Strong knowledge of Data Warehousing, Data Modeling and Data Lake, Data Security concepts
• Strong experience with Java open-source and API standards
• Possesses strong problem solving, troubleshooting, and analytical skills
• Having excellent communication, presentation, interpersonal, and analytical skills including the ability to communicate complex concepts clearly to different audiences
• Experience in technologies like Oracle/MySQL and NoSQL data stores such as DynamoDB
• Ability to quickly learn new technologies in a dynamic environment

Preferred qualifications:

• Experience in Databricks
• Experience in Human Resources analytics