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EDF Kafka Developer

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Onsite

EDF Kafka Developer

Tata Consultancy Services

EDF Kafka Developer

Skills

DockerJavaMicroservicesAmazon EC2AWS LambdaKafkaGitGrafanaAWSPrometheusKubernetes

2 months ago

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Important information


Contract type:

Permanent

Location:

Chennai, Tamil Nadu, India

Work mode:

Onsite

Published on:

10 August 2026

What they need


Greetings!

TCS India presents excellent opportunities for IT professionals.

Role :- EDF Kafka Developer

Experience:- 4-10 years

Location:- Pune, Chennai

Required Technical Skill Set:-

  • Strong hands-on experience in Apache Kafka and Confluent Kafka platform.
  • Proficiency in Java development for building streaming applications and microservices.
  • Experience in event-driven architecture and real-time data processing.
  • Hands-on experience with AWS services (EC2, SNS, SQS, etc.) for deployment and integration.
  • Experience in Kafka topics, partitions, producers, consumers, and stream processing (Kafka Streams).
  • Knowledge of message serialization formats such as JSON, Avro.
  • Familiarity with CI/CD pipelines, Git-based version control, and deployment automation.
  • Understanding of distributed systems, scalability, and fault-tolerant design.

Must-Have

  • Strong development experience in Apache Kafka / Confluent Kafka ecosystem.
  • Hands-on coding experience in Java.
  • Experience in designing and implementing real-time streaming solutions.
  • Strong understanding of event-driven architecture and messaging systems.

Good-to-Have

  • Experience in AWS cloud services (EC2, SNS, SQS, Lambda)
  • Exposure to Kafka monitoring tools (Confluent Control Center, Prometheus, Grafana).
  • Knowledge of microservices architecture and containerization (Docker/Kubernetes).
  • Experience in banking/financial domain systems.

Responsibility of / Expectations from the Role

1 Design and develop scalable Kafka-based streaming solutions.

2 Build and maintain producers and consumers for real-time data pipelines.

3 Collaborate with architects and stakeholders to define event-driven design patterns.

4 Ensure high availability, performance, and reliability of Kafka applications.

5 Integrate systems using Kafka, APIs, and AWS services.

6 Participate in testing, deployment, and production support activities.

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