Mainframe DB2 Replication Engineer

We are seeking an experienced Mainframe DB2 Replication Engineer to design, implement, and support data replication solutions across IBM z/OS and distributed environments, ensuring reliable data synchronization, high availability, and data consistency for critical banking applications., * Design, install, configure, and maintain DB2 replication solutions across mainframe and distributed platforms.

• Build and manage source-to-target replication pipelines.
• Configure and support capture processes, apply processes, and control servers.
• Implement unidirectional and bidirectional replication configurations.
• Develop real-time and near-real-time data synchronization solutions.
• Troubleshoot data inconsistencies, replication failures, queue backlogs, and network interruptions.
• Perform root cause analysis and implement corrective actions.
• Provide Level 2 and Level 3 support for production incidents.
• Tune replication processes to reduce latency, optimize resource utilization, and minimize impact on source systems.
• Optimize data capture efficiency, apply performance, and network usage.
• Support integration between DB2 for z/OS, DB2 LUW, distributed databases, message queues, and ETL platforms.
• Collaborate with DBAs, application teams, data engineering teams, and business intelligence teams to maintain reliable data replication.

• Experience with DB2 for z/OS and ZDIH.
• Experience with MIPS reduction and optimization projects.
• Experience with UNIX System Services (USS), including patch installation and UNIX scripting.
• Knowledge of RACF.
• Hands-on experience with IBM InfoSphere Data Replication (IIDR) / Change Data Capture (CDC).
• Knowledge of Q Replication is preferred.
• Understanding of replication architecture, data flow design, and Change Data Capture (CDC) concepts.
• Strong troubleshooting skills related to data consistency, replication failures, and performance latency.
• Experience with JCL, TSO/ISPF, and SDSF.
• Experience supporting mainframe batch and online environments.

Preferred Qualifications

• Familiarity with MQ and messaging systems.
• Experience with ETL and data warehousing platforms.
• Experience with monitoring tools.
• Experience with automation using REXX, Python, or other scripting languages.
• Exposure to cloud or hybrid data architectures.
• Experience with large-scale data migration or modernization programs.
• Knowledge of real-time data streaming architectures.