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# Mainframe Engineer

- **Company:** Indotronix Avani Group
- **Location:** Saint Paul, MN, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Amazon Web Services, Data Architecture, Data Infrastructure, Data Integration, IBM DB2, Information Lifecycle Management, JSON, IBM Resource Access Control Facility, Z/OS
- **Published:** October 5, 2026
- **Apply:** https://candidateportal.ceipal.com/job-details/v_sMchKI6cCTs5bgBZ9bwFRbHCnhSqwN5JG4tAdiYD4

## About the Role

10+ years of hands-on experience with IMS DB and DB2 for z/OS, including database design, SQL, utilities, and performance tuning

 - Proven success in mainframe exit or modernization projects, including data migration to distributed/cloud platforms
 - Expert-level proficiency in z/OS mainframe environments, batch processing, JCL, and system utilities
 - Strong background in database backup/recovery and data lifecycle management

Preferred Skills

 - Experience migrating mainframe environments to AWS or other cloud platforms
 - Familiarity with Informatica or similar data integration tools
 - Knowledge of mainframe security, access control, and audit practices
 - Understanding of enterprise data architecture and governance, Looking for a senior engineer/architect with a DBA background focused on mainframe IMS DB2 and z/OS Need to have experience doing mainframe exits/mainframe modernizations Will be moving to AWS so would be a big plus if they have done that before

## Description

Join a pivotal modernization project as a Mainframe Engineer, leveraging your IMS and DB2 expertise to drive a high-impact mainframe exit initiative. You'll work in a collaborative hybrid environment, serving as a subject matter expert while guiding the migration of critical enterprise data from legacy mainframe platforms to cutting-edge cloud solutions., Provide advanced engineering and DBA support for IMS DB (DL/I, PSBs, ACBs, transactions) and DB2 for z/OS environments

 - Analyze, optimize, and stabilize database structures, access patterns, and performance
 - Ensure system reliability through robust backup, recovery, and data integrity procedures
 - Troubleshoot and resolve complex issues across databases, application dependencies, and batch processing
 - Lead the design and execution of data extraction, transformation (ETL/ELT), and migration strategies to distributed/cloud platforms, with a focus on AWS
 - Translate hierarchical and relational data models to modern data architectures
 - Partner with Application Development, Enterprise Architecture, and Data Engineering teams to drive modernization efforts
 - Document knowledge, map dependencies, and support seamless knowledge transfer throughout the project lifecycle