Data Quality Engineer

Job Summary 
The Data Quality Engineer (QA) role will play a critical role in ensuring the accuracy, consistency, and reliability of data and analytics outputs within the organization. This role is responsible for developing and executing test strategies/plans, identifying data inconsistencies, and ensuring that analytics processes adhere to established quality standards. The ideal candidate has a strong background in data analysis, quality assurance methodologies, and experience with various data management and analytics tools.

What You’ll Do

• 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.

What We Need

• 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

Desired 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)

What You'll Need to Succeed

• Self-motivation, strong ambition, and interest in directly impacting business results.
• Critical thinking with the ability to identify and solve problems in a fast-paced environment.  
• The ability to empower others through data storytelling - translating complex data findings into compelling narratives. Comfortable not only presenting the data but also explaining the insights in a context that resonates with the audience. 
• Strong interpersonal, communication and consulting skills. Ability to establish and maintain successful cross functional relationships and collaborate closely with multiple teams. 
• Collaboration experience with developers, program managers, and product managers in an open, creative environment.  
• Comfort in a dynamic, agile work environment, with proficiency in using JIRA for project management and workflow tracking; consistent ability to deliver and by deadline. 
• Enthusiasm for responding to a dynamic range of questions and analytical challenges.

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