Job summaryAs a Manager of Software Engineer at JPMorgan Chase within our 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 responsibilitiesManage data integration and data analysis of disparate systemsBuild extensible data acquisition and integration solutions to meet the functional and non‑functional requirements of the clientImplement processes and logic to extract, transform, and distribute data across one or more data stores from a wide variety of sourcesProvide problem‑solving expertise and complex analysis of data to develop business intelligence integration designsInterface 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 easilyRequired qualifications, capabilities, and skillsExperience in data integration projects using Big Data Technologies, preferably related to human resources analyticsExperience in managing team of at least 5‑10 engineers.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)5+ years hands‑on experience on Spark engineering with PySpark/Scala for building and optimizing scalable data pipelines and 2+ years hands‑on experience building streaming applications using KafkaStrong experience in CICD using Jenkins, Git, Artifactory, Yaml, Maven for Cloud deploymentsGood knowledge of Big Data querying tools, such as Athena, RDS, DatabricksExperience in integrating data from different types of file‑storage formats like Parquet, ORC, Avro and table formats like Delta Lake or IcebergGood knowledge of Java opensource, API standards, JUnits, Spring Boot applications, Swagger SetupExperience using AI‑assisted developer productivity tools (e.g., GitHub Copilot) to speed up development, testing, and remediationStrong technical understanding in building scalable, high performance distributed services/systemsStrong knowledge of Data Warehousing, Data Modeling and Data Lake, Data Security conceptsPossesses strong problem solving, troubleshooting, and analytical skills, as well as excellent communication, presentation and interpersonal, including the ability to communicate complex concepts clearly to different audiencesExperience in technologies like Oracle/SQL and NoSQL data stores such as DynamoDBAbility to quickly learn new technologies in a dynamic environmentPreferred qualificationsExperience in DatabricksExperience in Human Resources analytics
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