Strong data testing experience including requirements understanding, data mapping validation, data transformation rules, and downstream validation
Technical understanding of platforms and file formats such as Azure Data Lake, MuleSoft, Data Bus, JSON, and XML
Experience building custom queries for data validation across multiple source and target systems
Knowledge of historical, full, and incremental data validation and performance testing for batch jobs with workload models and metric reporting
Requirements:
Perform data testing activities including requirements interpretation, mapping validation, transformation rule validation, and downstream validation
Validate data across platforms and file formats (Azure Data Lake, MuleSoft, Data Bus; JSON/XML) and develop custom queries for cross-source data validation
Design and execute historical, full, and incremental data validation strategies and performance testing for batch jobs (workload models, metrics, baseline vs actual reports)
Collaborate with stakeholders to ensure data quality, traceability, and timely delivery of validation artifacts
Job description
Position: Data Testing Lead (Remote) Location: Chicago, IL Duration: 6-12 Months Rate: DOE
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, Data bus, 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
