We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.

As a Manager of Software Engineer at JPMorgan Chase within the Technology Division, 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 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 easily

 

Required qualifications, capabilities, and skills:

Formal training or certification on software engineering concepts and 5+ years applied experienceHands on  experience in data integration projects using Big Data TechnologiesHands on experience with a minimum of 5 years on Spark and Scala along with experience on building streaming applications using KafkaStrong experience in CICD using Jenkins, Git, Artifactory, Yaml, Maven for Cloud deploymentsJava opensource, API, JUnits, Spring Boot applications, Swagger SetupGood 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/systemsStrong knowledge of Data Warehousing and Data Lake concepts ; Possesses strong problem solving, troubleshooting, and analytical skillsHaving excellent communication, presentation, interpersonal, and analytical skills including the ability to communicate complex concepts clearly to different audiences

Experience in technologies like Oracle/SQL and NoSQL data stores such as DynamoDB

 

Preferred qualifications, capabilities, and skills:

Experience in AWS Data Warehousing and database platforms preferredAbility to quickly learn new technologies in a dynamic environmentExperience in managing team of at least 5-10 engineers. Big data experience preferably related to human resources analytics