Description

You will build and maintain scalable data processing pipelines using Spark and Scala.

This role is on-site.

Responsibilities

• Develop data processing logic using PySpark and Scala.
• Implement scalable data pipelines within the Spark framework.
• Optimize existing data workflows for efficiency and performance.
• Maintain and improve data pipeline reliability.

Required Skills

• 5+ years of experience in data engineering roles.
• Expertise in Spark and PySpark.
• Strong programming skills in Scala.
• Bachelor's degree or equivalent graduate-level education.

Key Skills

Education

ANY GRADUATE