Kafka Developer

Tekskills; Hyderabad; On-site; INR 900,000 - 1,500,000; Full time

Job summary

Tekskills is seeking a Kafka-based data streaming engineer in Hyderabad, India to design and develop robust data pipelines and streaming applications. You will connect Kafka with databases, APIs, and microservices, and contribute to architecture decisions for scalable, fault-tolerant data flows.

The role emphasizes performance tuning, monitoring, and governance, including schema management and security practices to protect data across streaming pipelines.

Qualifications

• Experience designing and implementing streaming data pipelines using Kafka.
• Strong knowledge of distributed systems, data modeling, and fault-tolerance.
• Ability to optimize performance and ensure reliability at scale.

Responsibilities

• Integrate Kafka with databases, APIs, microservices, and other enterprise systems.
• Tune Kafka clusters, topics, producers, and consumers for optimal performance and scalability.
• Monitor data flow, troubleshoot issues, and ensure high availability.
• Contribute to the design and strategy of data streaming architectures.
• Implement security controls and schema management (e.g., Schema Registry) and data governance policies.

Skills

Kafka

Data pipelines

Stream processing

DevOps

Tools

Kafka

Schema Registry

Prometheus

Job description

Job Summary

Role Descriptions: Design Development. Create and maintain data pipelines, producers, consumers, and stream processing applications using Kafka.

Responsibilities

• 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.