Summary
✨ AI‑Generated
An organization is seeking a senior developer specializing in event streaming and enterprise integration. The role focuses on building Java-based connectivity services, managing message producers and consumers, developing stream-processing logic, implementing schema validation, and supporting secure, reliable API integrations across cloud platforms.
Highlights
Develop event-driven integration services using modern streaming technologies and cloud infrastructure. Work on complex data transformations, API connectivity, schema validation, and reliable message delivery while contributing to enterprise integration architecture.
Description
Skills:
Java, Spring Boot · Confluent Kafka / Apache Cloud · Kafka Connect · Flink SQL / stream processing · Schema Registry · REST / API integration · Kong Gateway · GitLab CI/CD
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 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
