Technical understanding of Azure Data Lake, MuleSoft, Databus
Experience with data formats like JSON and XML
Knowledge of performance testing for batch jobs
Requirements:
Understand requirements and perform data mapping validation
Build custom queries for data validation
Conduct historical and incremental data validations
Develop workload models and performance metrics
Job description
Position: Data Testing
Location: Chicago, IL
Duration: 6-12 Months
Rate: DOE
Job Description
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
