Description

Build and maintain automated data quality tests using Python and SQL.

This role is hybrid.

Responsibilities

• Validate large datasets using Python and SQL.
• Develop data quality engineering solutions.
• Implement testing workflows leveraging data orchestration tools.
• Ensure data integrity across pipelines.

Required Skills

• 5+ years of experience in data quality engineering, software testing, or data engineering.
• Strong proficiency in SQL and Python.
• Experience with Snowflake and Databricks.
• Hands-on experience with Spark and Airflow.
• Familiarity with AWS.
• Experience with BDD Frameworks.

Preferred Skills

• Familiarity with open-source data quality tools like Deequ or Great Expectations.

Key Skills

Education

Any Graduate