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Confluent Kafka Developer

Confluent Kafka Developer

Talent VelocityDelhi, IN
7 days ago
Job type
  • Remote
Job description

Job Title : Confluent Kafka Developer / Streaming Engineer

Experience Required : 5+ Years

Location : Remote (Work from Home)

Notice Period : Immediate to 30 Days

About the Role :

We are seeking an experienced Confluent Kafka Developer to design, build, and maintain event-driven architectures for real-time data integration across banking systems. The ideal candidate will have strong Java development skills and proven expertise with Kafka Connect, Kafka Streams, and ksqlDB to deliver high-throughput, low-latency streaming solutions in a financial services environment.

Key Responsibilities :

  • Develop and maintain event-driven architectures using Confluent Kafka for real-time integration across systems such as core banking, CRM, and fraud detection.
  • Design and implement Kafka producers and consumers for handling high-volume, low-latency banking transactions.
  • Build reusable streaming components using Kafka Streams and ksqlDB for use cases like fraud detection, customer notifications, and operational alerts.
  • Collaborate with the Data Governance team to ensure data lineage, quality, and metadata standards are followed.
  • Enforce schema evolution best practices using Confluent Schema Registry to maintain compatibility across multiple banking applications.
  • Partner with platform, DevOps, cybersecurity, and business analytics teams for seamless delivery and system monitoring.
  • Support data platform architects and project managers on integration roadmaps and impact assessments.
  • Work with business units (Retail, Islamic Finance, Risk, Compliance) to translate requirements into scalable Kafka-based solutions.
  • Enable real-time use cases such as customer onboarding status, transaction streaming, digital engagement analytics, and branch performance monitoring.

Essential Skills & Qualifications :

  • Strong Java proficiency (Kafka Connect is Java-based).
  • Hands-on experience with Kafka Connect APIs
  • Implement custom Source / Sink Connectors and Task interfaces using Java.
  • Schema handling using Schema Builder and Struct, with understanding of schema evolution.
  • Implement robust error handling and retry mechanisms.
  • Integrate with external systems (databases, REST APIs, SOAP services, etc.).
  • Debug and monitor using Confluent Connect Logs.
  • Solid understanding of Kafka topics, partitions, and offset management.
  • Proficiency in SQL for data manipulation and validation.
  • Excellent problem-solving and collaboration skills.
  • Experience in banking or financial services domains is a plus.

    • (ref : hirist.tech)

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