Strong data testing experience including requirements understanding, data mapping validation, data transformation rules, and downstream validation, plus historical/full/incremental data validations
Technical understanding of data platforms and file formats: Azure Data Lake, MuleSoft, Databus, with the ability to handle JSON, XML and other formats
Ability to build custom queries for data validation across multiple sources and target systems
Experience with performance testing for batch jobs, including developing workload models and metrics and performing baseline vs actual comparisons
Requirements:
Validate data against requirements, mappings, transformations, and downstream processes, including historical, full, and incremental data validations
Assess and validate data on platforms and files (Azure Data Lake, MuleSoft, Databus); ensure correct handling of JSON, XML, and other formats
Develop and execute custom data validation queries across source and target systems
Design and execute performance tests for batch jobs, create workload models, collect metrics, and compare baseline vs actual results
Job description
100% remote role
Though locals are preferred
Position: Data Testing Lead 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
