Description

You will design and implement large-scale stream processing solutions using Apache Flink.

Responsibilities

• Design and implement production-grade solutions using Apache Flink.
• Build and optimize high-performance, scalable big data processing systems.
• Design and optimize data pipelines for efficiency, reliability, and performance.
• Lead significant data processing projects from architecture to implementation.
• Collaborate with cross-functional teams to deliver stream processing capabilities.

Required Skills

• 5+ years of experience in architect roles or similar positions.
• Hands-on experience designing and implementing Apache Flink solutions in production.
• Deep understanding of stream processing, including event time, state management, and fault tolerance.
• Proficiency in Java or Scala for developing scalable software.
• Experience with Kafka and Kubernetes (K8s).
• Practical knowledge of CI/CD practices for stream processing systems.
• Familiarity with service mesh principles.
• Bachelor's degree in Computer Science, Engineering, or a related field.

Preferred Skills

• Experience optimizing complex big data processing architectures.

Key Skills

Education

Any Graduate