Lead Data Engineer - Mainframe DBDBA

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.

• Maintains and supports Db2 database applications
• Experienced with mainframe environment and use of TSO / ISPF / JCL
• Develop rapport with application development teams for collaboration
• Expertise with troubleshooting / diagnosing mainframe db2 related issues
• Maintains review of controls to ensure sufficient protection of enterprise data
• Implements database back-up,recovery, and archivingstrategy
• DDL Deployment , environment data refreshes, regular health checks
• Maintains highest levels of stability, integrity, reliability, and availability
• Experience with SQL and databases utilities including connectivity
• Adds to team culture of team work , collaboration, and partnership

• Formal training or certification on Data Engineering concepts and 5+ years applied experience
• Working knowledge of relational databases (RDBMS) and SQL operations
• Working knowledge of JES2 and JCL, including RACF / ACF2 Security and CA7 / ZEKE
• Experience with performance analysis to optimize SQL workloads
• Knowledge of SYSPlex mainframe configuration including Data Sharing
• Knowledge of the data lifecycle and data management functions
• Working knowledge of mainframe data system components
• 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 innovative culture
• Knowledge of industry-wide technology trends and best practices

• 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
• Understanding of plex mainframe configuration including Data Sharing & Stand-In
• Familiar with IDAA (Data Analytics Accelerators)