Description

You will design and maintain automated frameworks to ensure data integrity across data pipelines.

This role is hybrid.

Responsibilities

• Design and develop automated data quality test scripts and frameworks using Python and SQL.
• Build data profiling rules to identify anomalies and maintain test data sets for various scenarios.
• Integrate automated quality tests into CI/CD pipelines and set up monitoring dashboards and alerts.
• Collaborate with data engineers and product owners to investigate issues and implement corrective actions.
• Ensure all testing aligns with data governance policies and maintain necessary quality documentation.

Required Skills

• 5+ years of professional experience in data environments.
• Advanced SQL for complex data validation and querying.
• Proficiency in Python for programming and automation.
• Experience with ETL and data warehousing processes.
• Hands-on experience with CI/CD pipelines.
• Working knowledge of Agile methodologies.
• Ability to develop data quality reports and metrics.
• Any Graduate degree.

Key Skills

Education

Any Graduate