Confluent CDC Technical lead/Lead System Analyst – Banking Sector (UAE)

Expleo Group; Dubai; On-site; AED 334,800 - 446,400; Full time

Job summary

Careers at UAE is looking for a Confluent CDC Technical Lead/Lead System Analyst for a leading bank in Dubai. This role involves implementing robust data streaming solutions using Confluent Kafka, ensuring seamless integration between core banking systems and analytics platforms.

The ideal candidate will have extensive experience in IBM Analytics and CDC technologies, strong leadership skills, and excellent problem-solving abilities. The position offers an opportunity to drive innovation in real-time banking data solutions.

Qualifications

• Extensive experience in IBM Analytics, Cognos, and Confluent Kafka.
• Strong expertise in event-driven architectures, microservices, and API integrations.
• Solid understanding of compliance and data governance in banking environments.

Responsibilities

• Implement real-time data streaming solutions using IBM Analytics and Confluent Kafka.
• Integrate CDC pipelines with core banking applications and databases.
• Lead the adoption of Kafka Connect, Kafka Streams, and Schema Registry.

Skills

Kafka Connect

Kafka Streams

Schema Registry

CDC tools (Debezium, GoldenGate, Qlik Replicate)

IBM Analytics

cloud-based Kafka implementations (AWS MSK, Azure Event Hubs, Confluent Cloud)

SQL and NoSQL databases

event-driven architectures

API integrations

Job description

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 toimplement 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 solutionsto support real-time data movement across banking systems.
• Implement event-driven and microservices-based data solutionsfor 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 Registryfor real-time data processing.
• Optimize data replication, transformation, and enrichmentusing 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 planningfor CDC architectures.
• Stay updated with emerging technologiesand 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 toolssuch 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 governancein 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.