Description

You will build and validate automated data pipelines by combining data engineering with quality engineering.

You own the release pipeline, ensuring data accuracy through automated testing and SDET practices.

Responsibilities

• Build new data pipelines to support data processing requirements.
• Write pipelines that automate quality engineering aspects.
• Validate pipeline data accuracy through automated testing.
• Manage data quality by integrating SDET practices into the data lifecycle.

Required Skills

• Strong programming skills in Python.
• Hands-on experience with PySpark coding.
• Experience in Data Engineering and SDET roles.
• Proficiency in Quality Assurance and automated testing.
• Experience working within AWS environments.
• Bachelor's degree.

Key Skills

Education

Bachelor's degree