Data Streaming Architect

7 days ago

Pune, Maharashtra, India beBeeData Full time ₹ 15,00,000 - ₹ 28,00,000
Real-Time Banking Data Solutions Specialist

This role involves implementing and managing 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 seamless and secure data movement across core banking systems.

Key Responsibilities
  • Implement Confluent Kafka-based CDC solutions to support real-time data movement across banking systems.
  • Develop event-driven and microservices-based data solutions for enhanced scalability, resilience, and performance.
  • Integrate CDC pipelines with core banking applications, databases, and enterprise systems.
  • Maintain 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 infrastructure 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.
Required Skills & Qualifications
  • Extensive experience in Confluent Kafka and 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 with IBM Analytics.
  • Knowledge of cloud-based Kafka implementations (AWS MSK, Azure Event Hubs, or Confluent Cloud).

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