What are the responsibilities and job description for the Lead Data Engineer - Mainframe DB2 DBA position at JPMorgan Chase?
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 Commercial & Investment Bank - Production Management team, 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
- Maintains and supports Db2 database applications
- Develops rapport with application development teams for collaboration
- Supports review of controls to ensure sufficient protection of enterprise data
- Maintains highest levels of stability, integrity, reliability, and availability
- Adds to team culture of diversity, equity, inclusion, and respect
Required qualifications, capabilities, and skills
- Formal training or certification on Data engineering concepts and 5 years applied experience
- Proficiency with both relational and NoSQL databases
- Knowledge of the data lifecycle and data management functions
- Understanding of relational databases and SQL
- Working knowledge of mainframe data system components to determine controls needed
- Strong understanding of data modeling fundamentals (e.g., primary and foreign keys, constraints, indexing, etc.)
- Ability to work in large, collaborative teams to achieve organizational goals, with a passion to build an inclusive and innovative culture
- Knowledge of industry-wide technology trends and best practices
- Experience with performance analysis and ability to optimize SQL workloads
- Understanding of Sysplex mainframe configuration including data sharing
- Proficient knowledge of linear algebra, statistics, and geometrical algorithms
- Understanding of general Mainframe Utilities, Database Utilities and Stored Procedures
- Familiar with mainframe environment and the use of TSO / ISPF
- Understanding of Distributed and Static SQL workloads
- Familiar with IDAA (Data Analytics Accelerators)
