Mainframe DB2 Replication Engineer
$60 per hourKforce has a client that is seeking a Mainframe DB2 Replication Engineer in Chandler, AZ. Overview: 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
- Replication lag
- Data inconsistencies
- Failed or stalled replication processes
- Throughput tuning
- Latency reduction
- Queue and buffer configuration
- 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
- 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
- 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)
- 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
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