Kafka Developer

Tekskills Inc.; Hyderabad; Remote; INR 400,000 - 700,000; Full time

Job summary

Tekskills Inc. seeks a Kafka-focused data streaming engineer to design and maintain data pipelines, producers and consumers, plus stream processing applications using Kafka.

You will integrate Kafka with databases, APIs and microservices while tuning clusters for performance, scalability and reliability. Role includes monitoring data flows, troubleshooting issues, and contributing to architecture and governance policies across PAN INDIA.

Qualifications

• Experience designing data pipelines and streaming applications using Kafka.
• Integration of Kafka with databases, APIs, microservices and other systems.
• Performance tuning of Kafka clusters, topics, producers and consumers for scalability.

Responsibilities

• Design and maintain data pipelines, producers, consumers and stream processing apps with Kafka.
• Integrate Kafka with databases, APIs, microservices and enterprise systems.
• Tune Kafka clusters and topics for optimal performance, scalability and reliability.
• Monitor data flows, troubleshoot issues and ensure high availability.
• Contribute to data streaming architecture and strategy.
• Implement security, schema management (e.g. Schema Registry) and data governance policies.

Skills

Kafka

Data streaming

Stream processing

Pipelines design

Producers/Consumers

Tools

Schema Registry

APIs

Databases

Job description

Role Descriptions: Looking for PAN INDIA

• Design Development Create and maintain data pipelines| producers| consumers| and stream processing applications using Kafka.
• Integration Connect Kafka with databases| APIs| microservices| and other enterprise systems.
• Performance Optimization Tune Kafka clusters| topics| producers| and consumers for optimal performance| scalability| and reliability.
• Monitoring Troubleshooting Monitor data flow| resolve issues| and ensure high availability.
• Architecture Contribute to the design and strategy of data streaming architectures.
• Security Governance Implement security| schema management (e.g.| Schema Registry)| and data governance policies.