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Confluent CDC Technical lead/Lead System Analyst – Banking Sector (UAE)
Overview
Confluent CDC Technical lead/Lead System Analyst – Banking Sector (UAE)
A leading bank in the UAE is seeking an experienced IBM Analytics , Cognos and Confluent Change Data Capture (CDC) System Analyst/ Tech lead to implement real-time data streaming solutions. The role involves implementing robust CDC frameworks using Confluent Kafka, ensuring seamless data integration between core banking systems and analytics platforms. The ideal candidate will have deep expertise in event-driven architectures, CDC technologies, and cloud-based data solutions.
Responsibilities
- Implement IBM Analytics , Cognos and Confluent Kafka-based CDC solutions to support real-time data movement across banking systems.
- Implement event-driven and microservices-based data solutions for enhanced scalability, resilience, and performance.
- Integrate CDC pipelines with core banking applications, databases, and enterprise systems.
- Ensure data consistency, integrity, and security, adhering to banking compliance standards (e.g., GDPR, PCI-DSS).
- Lead the adoption of Kafka Connect, Kafka Streams, and Schema Registry for real-time data processing.
- Optimize data replication, transformation, and enrichment using CDC tools like Debezium, GoldenGate, or Qlik Replicate.
- Collaborate with Infra team, data engineers, DevOps teams, and business stakeholdersto align data streaming capabilities with business objectives.
- Provide technical leadership in troubleshooting, performance tuning, and capacity planning for CDC architectures.
- Stay updated with emerging technologies and drive innovation in real-time banking data solutions.
Essential skills
- Strong expertise in Kafka Connect, Kafka Streams, and Schema Registry.
- Hands-on experience with CDC tools such as Debezium, Oracle GoldenGate, or Qlik Replicate.
- Hands on experience on IBM Analytics
- Solid understanding of core banking systems, transactional databases, and financial data flows.
- Knowledge of cloud-based Kafka implementations (AWS MSK, Azure Event Hubs, or Confluent Cloud).
- Proficiency in SQL and NoSQL databases (e.g., Oracle, MySQL, PostgreSQL, MongoDB) with CDC configurations.
- Strong experience in event-driven architectures, microservices, and API integrations.
- Familiarity with security protocols, compliance, and data governance in banking environments.
- Excellent problem-solving, leadership, and stakeholder communication skills.
Experience
Extensive experience in IBM Analytics , Cognos and Confluent Kafka and Change Data Capture (CDC) solutions.