Description:
Design and Develop Automated Data Quality Tests:Create and maintain automated test scripts and frameworks for data quality validation using tools like Python, SQL, and data quality testing frameworks. Develop data profiling and validation rules to identify data anomalies and inconsistencies.Build and maintain test data sets for various testing scenarios.Implement Data Quality Monitoring and Alerting:Integrate automated data quality tests into CI/CD pipelines for continuous testing.Set up data qu
Mar 3, 2025;
from:
dice.com