Description

Own data quality validation and testing for pipelines, reports, and analytics outputs.

This role is hybrid.

Responsibilities

• Execute SQL-based validation and data quality checks across data pipelines and reporting outputs.
• Develop and maintain automated data validation checks using Great Expectations, dbt tests, and/or Soda.
• Validate BI reports, dashboards, and analytical outputs against source data and business requirements.
• Perform data reconciliation and transformation validation to identify and analyze data quality defects.
• Create and maintain test scenarios for data pipelines, integrations, and reporting workflows.

Required Skills

• 5+ years of experience in data testing or data quality engineering.
• Strong SQL skills for data validation and analysis.
• Experience with automated data testing tools: Great Expectations, dbt tests, or Soda.
• Hands-on ETL testing and data pipeline testing, including transformation validation.
• Experience validating BI reports, dashboards, and analytical outputs.
• Knowledge of data warehouse architectures and analytics platforms.
• Familiarity with ETL/ELT testing practices.

Preferred Skills

• Experience with cloud-based data platforms.
• Knowledge of Agile/Scrum development methodologies.
• Experience building reusable data validation frameworks.

Key Skills

Education

Any Graduate