Strong data testing experience including understanding of requirements, data mapping validation, data transformation rules, and downstream validation
Technical understanding of platforms and files such as Azure Data Lake, MuleSoft, Databus, and handling of different file formats (JSON, XML)
Ability to build custom queries for data validation across sources and target systems
Experience with performance testing for batch jobs, including workload models, metrics, and baseline vs actual comparison; experience with historical, full and incremental data validation
Requirements:
Validate data against requirements, data mappings, transformation rules, and downstream processes to ensure data quality
Work with platforms and file formats (Azure Data Lake, MuleSoft, Databus; JSON/XML) to enable data validation and integration tasks
Build and execute custom SQL/queries to validate data across different source and target systems
Perform performance testing for batch jobs, develop workload models, define metrics, and prepare baseline vs actual comparison reports; validate historical, full, and incremental data
Job description
Title: Data Testing Lead (remote) Location: Chicago, IL Duration: 6-12 Months
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
