Responsibilities
- Data Quality Assurance: Design and execute test plans to validate data accuracy, consistency, and completeness.
- Data Validation & Analysis: Identify data quality issues and implement corrective actions.
- Collaboration: Work with data engineers, analysts, and business teams to define quality requirements and standards.
- Automation & Tools: Leverage automated testing tools and frameworks to validate large datasets efficiently.
- Documentation & Reporting: Maintain clear documentation of testing processes, findings, and data quality metrics.
Eligibility
- Experience in data quality testing and validation
- Proficiency with SQL for data extraction, validation, and reporting
- Familiarity with data platforms, ETL processes, and data pipelines
- Knowledge of data quality tools and frameworks
(*Note: This is a requirement for one of Scoutit's clients)
Skills: data quality,sql,etl
