Description

You will design, develop, and maintain real-time data streaming solutions.

Responsibilities

• Design, develop, and deploy Kafka-based data streaming solutions.
• Build and manage Kafka topics, partitions, producers, and consumers.
• Integrate Kafka with external systems using Kafka Connect and custom connectors.
• Implement real-time data processing using Kafka Streams, Spark, or Flink.
• Monitor, troubleshoot, and optimize Kafka clusters for performance and security.

Required Skills

• 5+ years of experience in data streaming and pipeline development.
• Expertise in Kafka architecture and ecosystem management.
• Hands-on experience with Spark for real-time data processing.
• Strong background in Data Engineering principles.
• Experience with DevOps practices for managing streaming infrastructure.
• Ability to ensure high availability and scalability of messaging systems.
• Degree in any field of study.

Key Skills

Education

Any Gradute