JPMorgan Lead Data Engineer - Mainframe DB2 DBA 

United States, Texas, Plano 

215970580

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)