Be part of a dynamic team where your distinctive skills will contribute to a winning culture and team.

As a  Software Engineer III at JPMorganChase within the Consumer & Community Banking Open Banking team, you serve as a seasoned member of an agile team to design and deliver trusted data collection, storage, access, and analytics solutions in a secure, stable, and scalable way. You are responsible for developing, testing, and maintaining critical data pipelines and architectures across multiple technical areas within various business functions in support of the firm’s business objectives. 

Job responsibilities

Supports review of controls to ensure sufficient protection of enterprise dataAdvises and makes custom configuration changes in one to two tools to generate a product at the business or customer requestUpdates logical or physical data models based on new use casesFrequently uses SQL and understands NoSQL databases and their niche in the marketplacePerforming ETL and analysis of dataAdds to team culture of diversity, opportunity, inclusion, and respect

Required qualifications, capabilities, and skills

Formal training or certification on software engineering concepts and 3+ years applied experience Advanced at SQL (e.g., joins and aggregations)Working understanding of NoSQL databasesExperience customizing changes in a tool to generate productStrong organizational, problem-solving, and critical thinking skills; Strong documentation skillsProficiency in Python or JavaCluster Computing frameworks: Proficiency in SparkAWS Data Services: Proficiency in Lake formation, Glue ETL (or) EMR, S3, Glue Catalog, Athena, Kinesis (or) MSK, Airflow (or) Lambda + Step Functions + Event BridgeData De/Serialization: Expertise in atleast 2 of the formats: Parquet, Iceberg, AVRO, JSON-LDDevOps: Linux Scripting, Jenkins, Git, CI/CD, JIRA, TDD

AWS Data Security: Good Understanding of security concepts such as: Lake formation, IAM, Service roles, Encryption, KMS, Secrets Manager

 

Preferred qualifications, capabilities, and skills

 

Experience across the data lifecycleSignificant experience with statistical data analysis and ability to determine appropriate tools and data patterns to perform analysis