Key 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.
Required Technical and Professional Expertise :
Experience in data quality testing and validationProficiency with SQL for data extraction, validation, and reportingFamiliarity with data platforms, ETL processes, and data pipelinesKnowledge of data quality tools and frameworksSkills Required
Data Quality, Data Validation, Sql, Etl, Data Analysis