Mainframe DB2 Replication Engineer

Mainframe DB2 Replication Engineer
All Locations HYBRID

• Phoenix, AZ(Primary)
• Plano, TX
• Charlotte, NC
• Richmond, VA
• Jacksonville, FL
• Pennington, NJ
• Chicago, IL

Replication Design & Implementation
Design, install, configure, and maintain DB2 replication solutions across mainframe and distributed platforms
Build and manage source-to-target replication pipelines

Configure replication components:
o Capture processes
o Apply processes
o Control servers

Implement:
o Unidirectional and bidirectional replication setups
o Real-time and near-real-time data synchronization solutions

Troubleshooting & Support
Troubleshoot and resolve:
o Data inconsistencies
o Replication failures
o Queue backlogs
o Network interruptions
Perform root cause analysis and implement corrective actions
Provide L2/L3 support for production incidents

Performance Optimization
Tune replication processes to:
o Reduce latency
o Optimize resource utilization
o Minimize impact on source systems
Optimize:
o Data capture efficiency
o Apply performance
o Network usage

Integration & Data Architecture
Support integration across:
o DB2 z/OS and DB2 LUW systems
o Distributed databases, message queues, and ETL platforms
Work closely with:
o DBAs
o Application teams
o Data engineering and BI teams

Required Qualifications:
Experience with:
o DB2 for z/OS
o ZDIH
o MIPS reduction / optimization projects
o UNIX system service including installing patch on UNIX
o UNIX scripting
o RACF

Hands-on experience with replication technologies:
o IBM InfoSphere Data Replication (IIDR) / CDC
o Q Replication (preferred)

Knowledge of:
o Replication architecture and data flow design
o Change Data Capture (CDC) concepts

Strong troubleshooting skills in:
o Data consistency issues
o Performance and replication latency

Experience with:
o JCL, TSO/ISPF, SDSF
o Mainframe batch and online environments

Preferred Experience:
Familiarity with:
o MQ / messaging systems
o ETL and data warehousing platforms

Experience with:
o Monitoring tools
o Automation (REXX, Python, scripting)

Exposure to:
o Cloud or hybrid data architectures

Experience in:
o Large-scale data migration or modernization programs
o Real-time data streaming architectures