Strong data testing experience including requirements understanding, data mapping validation, data transformation rules, and downstream validation
Technical understanding of data platforms and files (Azure Data Lake, MuleSoft, Databus; JSON, XML, etc.)
Experience building custom queries for data validation across different sources and target systems
Understanding of historical data validation, including full data and incremental data validations
Requirements:
Lead data testing activities covering requirements, data mapping validation, data transformations, and downstream validation
Work with data platforms and file formats (Azure Data Lake, MuleSoft, Databus; JSON, XML) to validate data assets
Develop and execute custom queries to validate data across source and target systems
Plan and perform performance testing for batch jobs, including workload modeling and baseline vs actual reports
Job description
Job Tittle: Data Testing Lead Location: Chicago, IL (Remote) Duration: 6-12 Months
Qualifications
Strong data testing experience – Understanding of requirements, data mapping validation, data transformation rules, and downstream validation
Technical understanding of the platforms and files – Azure Data Lake, MuleSoft, Databus, handling of different file formats, JSON, XML etc
Building custom queries for data validation between different types of sources and target systems
Understanding of historical data validation, full data, and incremental data validations
Performance testing for batch jobs – Understanding of current state requirements, development of workload models, associated metrics, baseline vs actual comparison reports etc
