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

📌 Confluent Integration Engineer (Pune)
🏢 Zensar Technologies
📍 Pune