Description

You will design, build, and optimize real-time data pipelines for scalable streaming solutions.

This role is on-site.

Responsibilities

• Design and maintain high-performance real-time data pipelines.
• Collaborate with data scientists and platform architects on scalable streaming solutions.
• Implement data quality, observability, and governance best practices.
• Optimize streaming jobs for performance, reliability, and scalability.
• Build reusable tools and frameworks for enterprise data ingestion.

Required Skills

• 7+ years of experience in Data Engineering.
• 2+ years of experience in real-time or streaming technologies.
• Strong proficiency in Python, Java, or Scala.
• Hands-on experience with Kafka, Flink, Spark Streaming, or Kafka Streams.
• Experience with cloud platforms: AWS, Azure, or GCP.
• Proficiency with Docker and Kubernetes.
• Solid SQL and data modeling skills.
• Familiarity with CI/CD and infrastructure-as-code tools.

Preferred Skills

• Experience building reusable tools and frameworks for enterprise data ingestion.
• Strong background in data quality and governance.

Key Skills

Education

Any Graduate