Strong data testing experience including requirements understanding, data mapping validation, data transformation rules, and downstream validation
Technical understanding of platforms and file formats (Azure Data Lake, MuleSoft, Databus) and experience handling JSON, XML, and other file formats
Experience building custom queries for data validation across different sources and target systems
Understanding of historical, full, and incremental data validations
Requirements:
Validate data against requirements, including data mapping validation, transformation rules, and downstream validation
Develop and run custom queries for data validation between multiple source systems and target environments
Perform historical, full, and incremental data validations to ensure data quality
Conduct performance testing for batch jobs, including workload modeling, metric collection, and baseline vs actual comparisons
Job description
Position: Data Testing
Location: Chicago, IL
Duration: 6-12 Months
Rate: DOE
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
