Confluent CDC Technical lead/Lead System Analyst – Banking Sector

5 days ago


Dubai, Dubai, United Arab Emirates Expleo Full time
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 usingConfluent Kafka, ensuring seamless data integration between core banking systems and analytics platforms. The ideal candidate will have deep expertise inevent-driven architectures, CDC technologies, and cloud-based data solutions.

Responsibilities
  • ImplementIBM Analytics , Cognos and Confluent Kafka-based CDC solutionsto support real-time data movement across banking systems.
  • Implementevent-driven and microservices-based data solutionsfor enhancedscalability, resilience, and performance.
  • Integrate CDC pipelines withcore banking applications, databases, and enterprise systems.
  • Ensuredata consistency, integrity, and security, adhering tobanking compliance standards(e.g., GDPR, PCI-DSS).
  • Lead the adoption ofKafka Connect, Kafka Streams, and Schema Registryfor real-time data processing.
  • Optimizedata replication, transformation, and enrichmentusing CDC tools likeDebezium, GoldenGate, or Qlik Replicate.
  • Collaborate withInfra team, data engineers, DevOps teams, and business stakeholdersto align data streaming capabilities with business objectives.
  • Provide technical leadership introubleshooting, performance tuning, and capacity planningfor CDC architectures.
  • Stay updated withemerging technologiesand driveinnovation in real-time banking data solutions.
Essential skills
  • Strong expertise inKafka Connect, Kafka Streams, and Schema Registry.
  • Hands-on experience withCDC toolssuch asDebezium, Oracle GoldenGate, or Qlik Replicate.
  • Hands on experience on IBM Analytics
  • Solid understanding ofcore banking systems, transactional databases, and financial data flows.
  • Knowledge ofcloud-based Kafka implementations (AWS MSK, Azure Event Hubs, or Confluent Cloud).
  • Proficiency inSQL and NoSQL databases(e.g., Oracle, MySQL, PostgreSQL, MongoDB) with CDC configurations.
  • Strong experience inevent-driven architectures, microservices, and API integrations.
  • Familiarity withsecurity protocols, compliance, and data governancein banking environments.
  • Excellentproblem-solving, leadership, and stakeholder communication skills.
Experience

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

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