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# Mainframe DB2 Replication Engineer

- **Company:** Kyndryl, Inc.
- **Location:** Dallas, TX, United States
- **Contract:** Permanent contract
- **Skills:** Big Data, Cloud Computing, Databases, Data Architecture, Extract Transform Load (ETL), Data Warehousing, IBM DB2, IBM InfoSphere (ETL Tools), Job Control Language (JCL), Rexx (Programming Language), Python (Programming Language), Mainframes, Performance Tuning, Queueing Systems, Data Streaming, Z/OS, Tso/ispf, Scripting, Real Time Data, Database Replication
- **Published:** October 23, 2026
- **Apply:** https://www.dice.com/job-detail/da7d8db1-ab6c-42f8-8400-f1c32f7cae07

## About the Role

Required Qualifications: Experience with:DB2 for z/OSZDIHMIPS reduction / optimization projectsUNIX system service including installing patch on UNIXUNIX scriptingRACFHands-on experience with replication technologies:IBM InfoSphere Data Replication (IIDR) / CDCQ Replication (preferred)Knowledge of:Replication architecture and data flow designChange Data Capture (CDC) conceptsStrong troubleshooting skills in:Data consistency issuesPerformance and replication latencyExperience with:JCL, TSO/ISPF, SDSFMainframe batch and online environments

Preferred Experience: Familiarity with:MQ / messaging systemsETL and data warehousing platformsExperience with:Monitoring toolsAutomation (REXX, Python, scripting)Exposure to:Cloud or hybrid data architecturesExperience in:Large-scale data migration or modernization programsReal-time data streaming architectures

## Description

Replication Design & Implementation Design, install, configure, and maintain DB2 replication solutions across mainframe and distributed platformsBuild and manage source-to-target replication pipelinesConfigure replication components:Capture processesApply processesControl serversImplement:Unidirectional and bidirectional replication setupsReal-time and near-real-time data synchronization solutions Troubleshooting & Support Troubleshoot and resolve:Data inconsistenciesReplication failuresQueue backlogsNetwork interruptionsPerform root cause analysis and implement corrective actionsProvide L2/L3 support for production incidents Performance Optimization Tune replication processes to:Reduce latencyOptimize resource utilizationMinimize impact on source systemsOptimize:Data capture efficiencyApply performanceNetwork usage Integration & Data Architecture Support integration across:DB2 z/OS and DB2 LUW systemsDistributed databases, message queues, and ETL platformsWork closely
with:DBAsApplication teamsData engineering and BI teams