Confluent Integration Engineer

 Job Description 

• Design, develop, and maintain Kafka-based data integration pipelines using Confluent Platform / Confluent Cloud
• Migrate existing custom connectors to Confluent Managed Connectors (S3 Sink/Source, JDBC, Debezium, REST, etc.)
• Configure, deploy, and monitor Kafka Connect clusters and connector instances
• Implement Schema Registry governance (Avro, JSON Schema, Protobuf) for data contracts
• Build and optimise Kafka Streams or ksqlDB applications for real-time data transformation
• Collaborate with the EIDH architecture team on integration patterns (event-driven, CDC, batch offload)
• Troubleshoot connector failures, consumer lag, partition rebalancing, and throughput issues
• Implement observability: monitoring, alerting, and dashboarding for Kafka ecosystem components
• Support data governance, lineage, and security (ACLs, RBAC, encryption in transit/at rest)
• Participate in incident response and production support for streaming infrastructure