This role is for a Confluent Kafka Specialist to implement and manage real-time data solutions for the banking sector. The ideal candidate will have extensive experience with Confluent Kafka and Change Data Capture (CDC) to support the seamless and secure movement of data across core banking systems.
Key Responsibilities
- Implement 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 teams, data engineers, DevOps, and business stakeholders to align data streaming 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.
Skills & Qualifications
Required Skills:
- Extensive experience in 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.
- Solid understanding of core banking systems, transactional databases, and financial data flows.
- 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.
Preferred Skills:
- Hands-on experience on IBM Analytics.
- Knowledge of cloud-based Kafka implementations (AWS MSK, Azure Event Hubs, or Confluent Cloud).
