Document test cases and test scripts based on Agile stories
Create and maintain the code required to run test cases
Execute test cases and identify defects
Develop, maintain, and execute various data testing approaches, to include validating data sources, extracting data, applying/validating transform logic, and uploading data into destination sources for output accuracy and validation
Participate in Scrum team activities to monitor defect resolution
Suggest creative and active solutions for problems
Monitor and report on defect resolution to management
Identify and document processes around the QA of data across multiple environments
Support technical staff in the resolution of defects
Identify missed business rules that need to be submitted for future development
Provide actionable recommendations for improving data quality or integrity
Work with stakeholders to understand, reproduce, and address defects identified by clients or internal parties
Participate in the training and/or mentoring programs as assigned or required
Adhere to the Quest Analytics Values and support a positive company culture
Respond to the needs and requests of clients and Quest Analytics management and staff in a professional and expedient manner
Requirements
Bachelor’s degree, preferably in data analytics or computer engineering
A minimum of 2 years' experience in QA position specifically focused on data and ETL data accuracy testing
Intermediate to advanced SQL skills
Healthcare data experience is preferred
Experience working with large datasets
Experience with Azure Data Factory or similar data integration services
Experience with data tools such as Databricks, Excel, Power BI, R, Looker, Tableau, and Spark preferred
Snowflake is a plus
Familiarity with best practices of quality assurance practices
Ability to work independently and as part of a team
Strong communication skills and customer focus
Excellent troubleshooting, listening, and problem-solving skills
Able to work in a fast-paced, deadline-oriented environment
Experience with automation tooling to validate ETL processes is preferred
Applicants must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire.