Strong data testing experience with requirements understanding, data mapping validation, data transformation rules, and downstream validation
Technical understanding of data platforms and file formats including Azure Data Lake, MuleSoft, Databus, JSON and XML
Experience building and running custom data validation queries across different source and target systems
Experience with historical, full and incremental data validation and performance testing for batch jobs
Requirements:
Leverage data testing expertise to validate requirements, data mapping, transformation rules and downstream validation
Understand and work with platforms and files (Azure Data Lake, MuleSoft, Databus; JSON/XML) to support data testing
Develop and execute custom data validation queries across diverse sources and targets
Perform performance testing for batch jobs including workload modeling, metrics, and baseline vs actual comparisons
Job description
Position: Data Testing Lead (remote) Location: Chicago, IL Duration: 6-12 Months
Here is the detailed JD for this requirement. This role requires strong technical skills apart from the standard Testing skills (which are mentioned below).
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
