Confluent CDC Technical lead​/Lead System Analyst – Banking ; UAE

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
.

• 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, Golden Gate, or Qlik Replicate
  .
• Collaborate with Infra team, data engineers, Dev Ops teams, and business stakeholders
  to 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
  .

• Strong expertise in Kafka Connect, Kafka Streams, and Schema Registry
  .
• Hands-on experience with CDC tools
  such as Debezium, Oracle Golden Gate, 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 No
  
  SQL databases
  (e.g., Oracle, MySQL, Postgre
  
  SQL, Mongo
  
  DB) 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
  .

Extensive experience in IBM Analytics , Cognos and Confluent Kafka and Change Data Capture (CDC) solutions
.