Strong data testing experience with requirements understanding, data mapping validation, data transformation rules, and downstream validation
Technical understanding of platforms and file formats, including Azure Data Lake, MuleSoft, Databus, and handling of JSON/XML data
Experience building custom queries for data validation across different source and target systems
Experience with historical data validation (full and incremental) and performance testing for batch jobs, including workload modeling and metrics reporting
Requirements:
Validate data against requirements, including data mapping validation, transformation rules, and downstream validation
Design and develop data validation queries comparing data across various sources and target systems
Understand and validate historical data, including full and incremental validation scenarios
Conduct performance testing for batch jobs, developing workload models, collecting metrics, and producing baseline vs actual comparison reports
Job description
Position: Data Testing Lead Location: Chicago, IL – Remote Duration: 6-12 Months
Job Description:
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
