Confluent CDC Technical lead/Lead System Analyst – Banking Sector

منذ 7 أيام

dubai, الإمارات العربية المتحدة Careers at UAE دوام كامل

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 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 .

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 .