JPMorgan Chase is looking to improve, develop, and implement data collection, storage, access, and analytics solutions that are secure, stable, and scalable within the Commercial & Investment Bank.
Requirements
Expert knowledge in data management strategy and working on data pipelines
Expert in databricks
Experience with AI/ML and data science
Working experience with both relational and NoSQL databases
Experience and proficiency across the data lifecycle
Experience with database back-up, recovery, and archiving strategy
Formal training or certification on Data Engineering concepts
Responsibilities
Generates data models for their team using firmwide tooling, linear algebra, statistics, and geometrical algorithms
Architects new or improved data structures and delivers data management strategy
Evaluate processes in tech and product and drive data aspects while laying out the strategy
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, opportunity, inclusion, and respect
Other
5+ years applied experience
Strong communicator
Experience working in an agile team
Applicable certifications are a plus
Formal training or certification on Data Engineering concepts
