Kafka Integration Engineer/Consultant

Confluent Kafka Integration Engineer/Consultant

• 5+ years experience with Confluent Kafka and Apache Kafka • Programming: Strong proficiency in Java, Python, or Scala • Kafka Ecosystem: Kafka Connect, Kafka Streams, KSQL, Schema Registry, REST Proxy, Confluent Control Center • Confluent Platform: Stream Governance, Data Lineage, Stream Catalog, Audit Logs, Role-Based Access Control (RBAC) • Confluent Cloud: Fully managed Kafka service, ksqlDB Cloud, Apache Flink on Confluent Cloud • Stream Processing: Apache Flink, ksqlDB, real-time analytics and complex event processing • Architecture: Event-driven architecture and data streaming patterns • DevOps: Docker, Kubernetes, CI/CD pipelines • Cloud: AWS, GCP, or Azure with Kafka deployment experience • Soft Skills: Excellent problem-solving and communication abilities • Design and implement real-time streaming solutions using Kafka, Confluent Platform, and Confluent Cloud • Develop stream processing applications using Apache Flink, ksqlDB, and Kafka Streams • Build data governance frameworks using Confluent's Stream Governance suite • Implement data lineage tracking and stream catalog management • Deploy and manage KRaft-based clusters (ZooKeeper-free Kafka architecture) • Configure client-side field-level encryption for sensitive data protection • Integrate Kafka with enterprise systems (databases, APIs, microservices) • Manage Kafka clusters, topics, schemas, and connectors • Optimize performance, scalability, and reliability of Kafka solutions • Configure and manage KRaft controllers and metadata management • Implement disaster recovery and cross-region replication strategies • Set up monitoring using next-generation Confluent Control Center with Prometheus/OpenTelemetry • Deploy and manage Confluent for Kubernetes (CFK) and Ansible automation • Monitor and troubleshoot Kafka pipelines and infrastructure • Ensure data governance, security, and compliance in streaming workflows • Collaborate with data engineers, architects, and DevOps teams