We are seeking an experienced Mainframe DB2 Replication Engineer to design, implement, and support data replication solutions within an enterprise IBM mainframe environment. This role focuses on ensuring reliable, high-performance data movement and synchronization between DB2 systems and across enterprise platforms. You will play a key role in supporting real-time and batch data integration for business-critical applications and modernization initiatives. In this role, you will design, configure, and support DB2 data replication solutions across mainframe and distributed systems. Implement and manage replication technologies such as:
Q Replication
IBM InfoSphere Data Replication (IIDR)
Change Data Capture (CDC)
Monitor and maintain data replication pipelines, ensuring data consistency and integrity
Troubleshoot and resolve issues including:
Replication lag
Data inconsistencies
Failed or stalled replication processes
Optimize replication performance, including:
Throughput tuning
Latency reduction
Queue and buffer configuration
Support integration of DB2 data with:
Enterprise applications
Data warehouses
Cloud and distributed systems
Work closely with DBAs, application teams, and infrastructure teams to support data integration needs
Participate in data migration and modernization initiatives
Maintain documentation for replication configurations, processes, and troubleshooting procedures

Requirements

5+ years of experience working in IBM mainframe (z/OS) environments
Strong hands-on experience with: DB2 databases; Data replication technologies (Q Replication, IIDR, CDC)
Experience configuring and supporting data replication pipelines
Experience troubleshooting replication issues, latency, and failures
Strong understanding of: DB2 architecture (logs, tablespaces, datasets); Data consistency and synchronization concepts
Familiarity with JCL and mainframe utilities
Strong problem-solving and analytical skills
Preferred Qualifications:
Experience with IBM MQ (commonly used with Q Replication)
Experience working in high-volume, enterprise data environments
Exposure to cloud platforms or distributed systems integration
Experience supporting real-time data streaming or event-driven architecture
Familiarity with data warehousing, ETL, or analytics platforms
Automation or scripting experience (REXX, Python, Shell)
What Makes This Role a Great Fit:
You enjoy working on data movement, integration, and real-time systems
You are detail-oriented and focused on data accuracy and reliability
You like solving complex problems related to performance and synchronization
You are comfortable working across multiple platforms and technologies

Are you interested in this position?

Apply by clicking on the “Apply Now” button below!

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