Strong data testing experience including requirements understanding, data mapping validation, data transformation rules, and downstream validation
Technical understanding of platforms and files: Azure Data Lake, MuleSoft, Databus; experience handling JSON, XML, and other file formats
Ability to build custom queries for data validation across multiple sources and target systems
Experience with historical data validation, including full data and incremental data validations
Requirements:
Lead data testing initiatives and validate data flows, mappings, and transformation rules across Azure Data Lake, MuleSoft, and Databus
Develop and execute custom queries for validating data between diverse source and target systems
Perform performance testing for batch jobs, including workload modeling, metric collection, and baseline vs actual comparison
Collaborate with stakeholders to ensure data quality requirements are met and deliverables are completed on schedule
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, 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
