Responsibilities we entrust you with :

- Design and develop Kafka-based solutions for real-time data processing.

- Build and maintain Kafka producers, consumers, and topics.

- Optimize Kafka cluster performance, scalability, and reliability.

- Troubleshoot and resolve issues related to Kafka brokers, producers, and consumers.

- Integrate Kafka with other systems like databases, microservices, and third-party APIs.

- Develop efficient data pipelines for processing large volumes of streaming data.

- Ensure data integrity and fault tolerance in Kafka systems.

- Collaborate with cross-functional teams to design and implement event-driven architectures.

- Monitor and manage Kafka clusters and ensure optimal health and performance.

- Work with DevOps teams for deployment and continuous integration/continuous delivery (CI/CD) pipelines.

Relevant work experience :

- Strong experience with Apache Kafka and Kafka Connect.

- Hands-on experience with Kafka Producers and Consumers.

- Proficiency in programming languages like Java, Python.

- Familiarity with Kafka Streams .

- Experience with Kafka management tools (e.g., Confluent Control Center, Kafka Manager).

- Solid understanding of distributed systems and messaging queues.

- Knowledge of cloud platforms (AWS) and containerization (Docker, Kubernetes).

- Understanding of data serialization formats like Avro, JSON, or Protobuf.

- Experience with event-driven architectures and microservices is a plus.