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Confluent Kafka Engineer

Job in Abu Dhabi, UAE/Dubai
Listing for: Cust-4070516
Full Time position
Listed on 2026-05-28
Job specializations:
  • Software Development
    Data Engineer
Salary/Wage Range or Industry Benchmark: 120000 - 200000 AED Yearly AED 120000.00 200000.00 YEAR
Job Description & How to Apply Below

Job Title:
Confluent Kafka Engineer - Development, UAT, and Production Support

Location:
Abu Dhabi, UAE

Fulltime Permanent

Education:

Bachelors degree in Computer Science, Information Technology, or a related field.

Experience:

  • Overall 8+ years of experience in the IT Field
  • 3+ years of hands‑on experience with Apache Kafka and Confluent Kafka in a production environment, including experience with Confluent Control Centre, KSQLDB, Kafka Streams, and Kafka Connect.
  • Proven experience in Kafka development, including producer and consumer API, stream processing, and connector development.
  • Experience with Kafka cluster management, including setup, configuration, monitoring, and troubleshooting.
  • Familiarity with distributed systems, microservices architecture, and event‑driven design patterns.
  • Experience with cloud platforms (e.g., AWS, Azure) and containerization (Kubernetes) is a plus.

Technical

Skills:

  • Proficiency in programming languages such as Java, Python, or Scala.
  • Strong knowledge of Kafka internals, including brokers, zookeepers, topics, partitions, and offsets.
  • Experience with monitoring tools (e.g., Prometheus, Grafana) and logging frameworks (e.g., Log4j, ELK Stack).
  • Proficiency in using Confluent Control Center for monitoring, managing, and optimizing Kafka clusters.
  • Expertise in Kafka Streams for building scalable, fault‑tolerant stream processing applications.
  • Experience with KSQLDB for real‑time processing and analytics on Kafka topics.
  • Strong understanding of Kafka Connect for integrating Kafka with external data sources and sinks.
  • Understanding of networking, security, and compliance aspects related to Kafka.
  • Familiarity with CI/CD pipelines and automation tools (e.g., Jenkins, Git Lab CI).
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