Join us as we embark on a journey of collaboration and innovation, where your unique skills and talents will be valued and celebrated. Together we will create a brighter future and make a meaningful difference.

As a Lead Data Engineer at JPMorgan Chase within the Corporate and Investment Bank's Trust & Safety group, you are an integral part of an agile team that works to enhance, build, and deliver data collection, storage, access, and analytics solutions in a secure, stable, and scalable way. As a core technical contributor, you are responsible for maintaining critical data pipelines and architectures across multiple technical areas within various business functions in support of the firm’s business objectives.

Job responsibilities

 

Generates data models for their team using firmwide tooling, linear algebra, statistics, and geometrical algorithms Delivers data collection, storage, access, and analytics data platform solutions in a secure, stable, and scalable way Implements database back-up, recovery, and archiving strategy  Evaluates and reports on access control processes to determine effectiveness of data asset security​ with minimal supervision Adds to team culture of diversity, equity, inclusion, and respect. Designs database systems and management tools. Installs, updates, and maintains databases used by the application. Assesses database performance / resiliency / availability / scalability by developing protocols to measure results and identify problem areas. Supports database performance / resiliency / availability / scalability by monitoring, evaluating, and resolving processing and programming problems. Secures database by preparing access and control policies and procedures and implementing disaster recovery procedures. Supports application design by contributing expertise on database technologies to the development teams.

 

Required qualifications, capabilities, and skills

Formal training or certification on data  engineering concepts and 5+ years applied experience in database administration & database architecture Experience in relational / no-sql data modeling Working experience with both relational and NoSQL databases​ Experience and proficiency across the data lifecycle Experience with database back-up, recovery, and archiving strategy Proficient knowledge of linear algebra, statistics, and geometrical algorithms Primary Database(s) -  Oracle , Cassandra , Secondary Database - AWS Dynamo DB Relational & No-SQL data modeling Advanced knowledge of database security, performance standards, and backup and recovery Advanced knowledge of data replication  Preferred qualifications, capabilities, and skills   A bachelor’s degree in business, computer science or a related field  Experience with data replication technologies Cassandra Certification Preferred  AWS Database Specialty Certified preferred but not mandatory