Description

You will manage data processing workloads using the Hadoop and Spark ecosystems. You own the implementation of data pipelines, distributed storage, and computation tasks.

Responsibilities

• Implement data processing tasks using Spark.
• Manage distributed data storage and computation within Hadoop.
• Maintain data pipelines to ensure efficient processing.
• Resolve data engineering issues to maintain system stability.

Required Skills

• 5+ years of professional experience in data engineering.
• Hands-on experience with Hadoop ecosystem.
• Hands-on experience with Spark.
• Bachelor's degree or equivalent graduate level education.

Key Skills

Education

ANY GRADUATE