Integration Engineer
Must Have Technical/Functional Skills
Java, Kafka & Streaming
Roles & Responsibilities
We are seeking a highly skilled Integration Engineer with strong experience in Java, Apache Kafka, and real-time streaming technologies
to design, develop, and support scalable integration solutions. The ideal candidate should have expertise in event-driven architectures,
API integrations, distributed systems, and enterprise data streaming platforms. The role involves building high-performance integrations
between various applications, data platforms, and cloud services while ensuring reliability, scalability, and security.
•Design, develop, and maintain scalable integration solutions using Java, Spring Boot, Apache Kafka, and streaming technologies.
•Build and support real-time event-driven architectures to enable seamless data exchange across enterprise applications.
•Develop high-performance Kafka producers, consumers, and stream processing applications.
•Design and implement integration APIs, microservices, and messaging solutions to support business processes.
•Create and manage Kafka topics, partitions, consumer groups, schema registries, and retention policies.
•Develop and maintain real-time data pipelines for data ingestion, transformation, and distribution.
•Ensure integrations meet performance, scalability, reliability, and security requirements.
•Integrate enterprise systems, cloud platforms, databases, and third-party applications using APIs and messaging frameworks.
•Develop RESTful services and event-based integration patterns to support application interoperability.
•Implement data transformation, validation, and routing logic across integration flows.
•Support batch and streaming data processing requirements.
•Design and implement streaming solutions using Kafka Streams, Spark Streaming, or similar technologies.
•Monitor and optimize Kafka clusters for throughput, availability, and fault tolerance.
•Troubleshoot messaging, latency, and performance issues within streaming environments.
•Implement dead-letter queues (DLQs), retry mechanisms, and fault-tolerant processing patterns.
•Define topic strategies, partitioning schemes, and event schemas to support business requirements.
•Develop and support CI/CD pipelines for integration and streaming applications.
•Build containerized applications using Docker and deploy on Kubernetes/OpenShift platforms.
•Automate deployment, monitoring, and operational processes.
•Participate in infrastructure and environment provisioning activities.
•Java, Spring Boot, Spring Cloud
•Apache Kafka, Kafka Streams, Kafka Connect
•Event-Driven Architecture (EDA)
•REST APIs, JSON, XML
•Microservices Architecture
•Git, Jenkins, CI/CD
•Docker, Kubernetes
•SQL/NoSQL Databases
•AWS/Azure Cloud Services
•Monitoring tools such as Splunk, Grafana, ELK, and Prometheus
Salary Range- $110,000-$140,000 a year
More Information
Application Details
- Organization DetailsTCS / Tata Consultancy Services
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