Confluent CDC System Analyst

Job Description

• Implement Confluent Kafka-based CDC solutions to support real-time data movement across banking systems.
• Implement event-driven and microservices-based data solutions to enhance scalability, resilience, and performance.
• Integrate CDC pipelines with core banking applications, databases, and enterprise systems.
• Ensure data consistency, integrity, and security while 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 such as Debezium, Oracle GoldenGate, or Qlik Replicate.
• Collaborate with infrastructure teams, 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.

Qualifications

• Solid understanding of core banking systems, transactional databases, and financial data flows.
• Knowledge of cloud-based Kafka implementations such as AWS MSK, Azure Event Hubs, or Confluent Cloud.
• Proficiency in SQL and NoSQL databases (e.g., Oracle, MySQL, PostgreSQL, MongoDB) with CDC configurations.
• Familiarity with security protocols, compliance requirements, and data governance in banking environments.
• Excellent problem-solving, leadership, and stakeholder communication skills.

Experience

• Extensive experience with Confluent Kafka and Change Data Capture (CDC) solutions.
• 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 with IBM Analytics.
• Strong experience in event-driven architectures, microservices, and API integrations.