Start Date
Immediate
Expiry Date
10 Jan, 27
Salary
35000.0
Posted On
12 Oct, 26
Experience
6 year(s) or above
Remote Job
Yes
Telecommute
Yes
Sponsor Visa
Yes
Skills
Industry
Information Services
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:
· Confluent Certified Developer/Administrator· 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 Role1 Develop custom integration code using Java / Spring Boot for source system connectivity where managed connectors are not applicable2 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 communication6 Configure and support HTTP Sink delivery patterns, payload mapping, retries, and failure handling7 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 execution9 Support E2E testing with downstream teams and resolve integration issues across connectors, transformations, APIs, and Kafka topics10 Work with GitLab CI/CD pipelines for build, deployment, regression automation, and release support
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