Experience- Should Be Min 4+ Years

Notice Period- Imm- 30 Days

Budget- As per the market standard

Job Description:

Hands-on experience with Apache Kafka and Confluent Kafka in a production environment, including experience with Confluent Control Center, 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, GitLab CI).