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Zone IT Solutions Pty Ltd in Melbourne is seeking an experienced Integration Engineer to design and implement data-driven, event-based integration patterns.
You will develop Java/Spring Boot connectors, manage Kafka pipelines on Confluent Cloud/NGIP, and build Flink SQL streaming jobs for transformation, validation, and routing. Strong knowledge of Schema Registry and API integrations via Kong Gateway is required.
Must Have:
· Develop custom integration code using Java / Spring Boot for source system connectivity where managed connectors are not applicable.
· Build and maintain Kafka producers / consumers, topic integration logic, and event-driven services on Confluent Cloud / NGIP.
· Develop and maintain Flink SQL / stream processing logic for transformation, enrichment, validation, routing, and de-duplication.
· Implement integration with Schema Registry, topic schemas, and message validation controls. · Support HTTP/API-based integrations through Kong Gateway for NGIP to target application communication.
· Configure and support HTTP Sink delivery patterns, payload mapping, retries, and failure handling.
Good To Have:
· Experience with stream governance, RBAC, and tiered storage
· Background in data engineering, ETL, or microservices architecture
· Familiarity with traditional messaging systems and data warehouses
· Experience in Agile methodologies and DevOps practice.
SN Responsibility of / Expectations from the Role
1 Develop custom integration code using Java / Spring Boot for source system connectivity where managed connectors are not applicable
2 Build and maintain Kafka producers / consumers, topic integration logic, and event-driven services on Confluent Cloud / NGIP.
3 Develop and maintain Flink SQL / stream processing logic for transformation, enrichment, validation, routing, and de-duplication.
4 Implement integration with Schema Registry, topic schemas, and message validation controls..
5 Support HTTP/API-based integrations through Kong Gateway for NGIP to target application communication
6 Configure and support HTTP Sink delivery patterns, payload mapping, retries, and failure handling
7 Perform unit / component testing for custom code, Flink jobs, and interface logic.
8 Support SIT, pipeline testing, defect fixing, replay, and root-cause analysis during test execution
9 Support E2E testing with downstream teams and resolve integration issues across connectors, transformations, APIs, and Kafka topics
10 Work with GitLab CI/CD pipelines for build, deployment, regression automation, and release support