Description

You will design and implement Kafka-based event-driven solutions for real-time data processing.

This role is on-site.

Responsibilities

• Design, develop, and maintain Kafka producers, consumers, and topics.
• Optimize Kafka cluster performance, scalability, and reliability.
• Troubleshoot and resolve issues involving Kafka brokers, producers, and consumers.
• Integrate Kafka with databases, microservices, and third-party APIs.
• Build efficient data pipelines for large-scale streaming data while ensuring data integrity and fault tolerance.

Required Skills

• 5+ years of experience working with Kafka.
• Hands-on experience with Cosmos DB.
• Proven track record designing and implementing event-driven architectures.
• Expertise in managing Kafka-based real-time data processing.
• Strong understanding of data integrity and fault tolerance in distributed systems.
• Experience building and maintaining data pipelines for high-volume streaming data.
• Ability to integrate streaming platforms with microservices and external APIs.
• Bachelor's degree or equivalent experience.

Key Skills

Education

Any Graduate