Role Overview :
A leading bank in the UAE is seeking an experienced 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 .
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 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 .
Required Skills & Qualifications :
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 .
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 .
Senior System Analyst • India