Description

Build and maintain data infrastructure, pipelines, and distributed systems.

This role is on-site.

Responsibilities

• Develop and maintain data processing pipelines using Spark and Scala.
• Implement API development solutions using Java, Python, or Node.js.
• Manage and operate distributed data systems leveraging Hadoop and Hive.
• Orchestrate data workflows using tools like Airflow.

Required Skills

• 5+ years of professional experience in data engineering.
• Proficiency in Java, Python, and Scala.
• Experience with big data frameworks including Hadoop and Hive.
• Strong understanding of Spark for data processing.
• Familiarity with container orchestration using Kubernetes.
• Experience with API Development and GraphQL (GQL).
• Knowledge of distributed systems and stream processing concepts.
• Familiarity with Data Lake concepts.

Key Skills

Education

Any Gradute