
Kafka Engineer
1 week ago
Title : Kafka Engineer
We are looking for a skilled Kafka Engineer with 5-7 years of experience in designing, building, and maintaining real-time streaming pipelines using Apache Kafka. The ideal candidate will have strong expertise in Java-based development, Kafka architecture, and CI/CD integration.
You'll play a key role in enabling real-time data processing and ensuring the scalability, fault tolerance, and governance of data streaming across our enterprise systems.
Key Responsibilities :
- Design and maintain Kafka-based streaming pipelines for high-throughput, low-latency real-time data processing.
- Ensure scalability, fault tolerance, and schema governance using tools like Schema Registry (Avro/Protobuf).
- Develop robust Kafka producers and consumers using Java, adhering to performance and reliability standards.
- Collaborate with DevOps teams to automate CI/CD pipelines, deployment, and infrastructure provisioning for Kafka components.
- Implement security best practices including encryption, authentication, and access control for Kafka clusters.
- Monitor and troubleshoot Kafka cluster health, latency, throughput, and message delivery guarantees.
- Document architecture, deployment strategies, and operational run books for Kafka-based systems.
- Participate in code reviews, knowledge-sharing sessions, and architectural discussions.
Must-Have Skills :
- 5-7 years of experience in backend or data engineering, with strong focus on Apache Kafka.
- Proficiency in Java for building Kafka producers/consumers and integration with backend services.
- Deep understanding of Kafka internals (brokers, partitions, consumer groups, offsets, replication, etc.).
- Experience with schema management using Confluent Schema Registry, Avro, or Protobuf.
- Experience with CI/CD pipelines for Kafka component deployment and integration.
- Strong collaboration skills with DevOps teams to manage Kafka infrastructure, security, and automation.
- Solid understanding of real-time data processing concepts, fault tolerance, and data consistency.
Good-to-Have Skills :
- Experience with Kafka Streams, ksqlDB, or Apache Flink for stream processing.
- Familiarity with Kafka Connect and connectors for data ingestion and export. Exposure to Confluent Kafka Platform and Kafka REST Proxy.
- Experience with monitoring and observability tools (e.g., Grafana, ELK Stack).
- Understanding of container orchestration platforms like Kubernetes or OpenShift.
- Knowledge of cloud-native Kafka deployments (AWS MSK).
- Familiarity with Spring Boot for integrating Kafka in microservice environments.
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