senior kafka developer

SRS Infoway

Pune District

On-site

INR 1,800,000 - 3,000,000

Full time

6 days ago
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Job summary

SRS Infoway is seeking an experienced Kafka specialist to lead integration and data streaming initiatives. You will design, deploy, and maintain Kafka-based solutions with a focus on performance, availability, and reliability.

Applicants should have extensive hands-on experience with Kafka components, Zookeeper, and related APIs, plus a strong track record in production deployments and troubleshooting in complex environments.

Qualifications

  • Solid understanding of Kafka architecture and experience in using Kafka.
  • Experience in ensuring optimum performance, high availability, and stability of solutions.
  • Hands-on designing integration solutions using Kafka and awareness of integration best practices for data streaming.

Responsibilities

  • Solid hands-on Kafka deployment and configuration.
  • Experience on production deployment, invoke Kafka components as background processes, configuration, trouble shooting, and environment maintenance.
  • Strong awareness of deploying architectures for Kafka solutions.

Skills

Kafka
Data streaming
Integration design
SQL connector
HTTP connector
Kafka ecosystem
Deployment architecture
Production deployment
Troubleshooting

Tools

Zookeeper
Kafka Connect
Kafka Broker
Kafka Topic

Job description

Role & responsibilities

Over around 7+ years of experience in different integration technologies, data streaming technologies, and Kafka.

  • Solid understanding of Kafka architecture and experience in using Kafka.
  • Ensure optimum performance, high availability, and stability of solutions.
  • Strong hands-on designing integration solutions using Kafka and aware of integration best practices for data streaming solutions
  • Strong awareness of Kafka ecosystem, Zookeeper, Kafka cluster, Kafka broker, producer, consumer, Connectors, different APIs, Kafka Topic etc.
  • Strong hands-on SQL connector, HTTP connector etc.
  • Strong knowledge on different APIs exposed by Kafka to handle the integration, data steaming and for data management.
  • Strong awareness on designing deployment architecture for Kafka solutions.
  • Solid hands-on Kafka deployment and configuration.
  • Experience on production deployment, invoke Kafka components as background processes, configuration, trouble shooting, and environment maintenance.
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