Data Quality Engineer
| Company | PatientPoint |
|---|---|
| Location | Cincinnati, OH, USA |
| Salary | $Not Provided – $Not Provided |
| Type | Full-Time |
| Degrees | Bachelor’s |
| Experience Level | Mid Level, Senior |
Requirements
- 4+ years of total professional experience
- 3+ years of experience in Data Analytics, testing and test automation of Data Warehouse Quality rules
- Proven experience with SQL, data querying, and data analysis
- Strong communication skills, both written and verbal, with the ability to explain technical concepts to non-technical stakeholders
- Strong understanding of data structures, databases, and data governance principles
- Experience with Atlassian tools (JIRA, Confluence, etc.)
- Experience with SQL language in one or more database platforms (MySQL, PostgreSQL, Oracle, or MS SQL)
- Hands-on experience with Snowflake
Responsibilities
- Collaborate with Product Owners/BA’s/Architects/QA lead in refinement and defining story acceptance criteria for controls-based software utilized in automated systems for material movement
- Analyze system requirements and review technical specifications to assess, evaluate, and create testing requirements for all Data components for functional and end-to-end scenarios
- Perform data validation, data integrity checks, and regression testing to ensure the accuracy of data and analytics outputs
- Collaborate and contribute to automation test system architecture, methodologies, and processes using industry best practices and innovation of testing framework
- Design, construct and maintain automated test reporting infrastructure for providing technical, project, and business visibility to software quality
- Work with data engineers/data scientists/analysts to understand data flows and models
- Ensure data governance policies and standards are followed and suggest improvements
- Taking part in continuous improvement through sharing knowledge and coaching within the team
- Document QA processes, procedures, and outcomes to ensure transparency and knowledge sharing across the team
- Prepare and communicate QA reports, including findings, risks, and recommendations
- Maintain and update QA documentation with changes in data and analytics processes
Preferred Qualifications
- Bachelor’s Degree
- Experience with Python programming language
- Experience with dbt
- Bachelor’s degree in a relevant field such as Data Management, Information Systems, Business Analytics, or relevant experience
- Familiarity with data visualization tools (e.g., Tableau, Looker)