Data Quality Engineer

Key Skills

Microsoft Office suites, Python Programming, SQL, DevOps, Data science techniques, NoSQL

Job Description

The Data Quality Engineer monitors and improves the quality of applications and services by exercising our systems and championing others to do the same.

Responsibilities

• Review functional and design specifications to ensure full understanding of features and stories of an application or service

• Provide input that results in clearly defined requirements and testable acceptance criteria

• Develop, document and maintain test cases and other test artifacts for various types of testing

• Identify test requirements from stories and design a test coverage plan that ensures deliverables and client’s acceptance criteria are met

• Facilitate test plan/case reviews with cross-functional team members

• Find, isolate, replicate and report defects

• Verify defect/issue resolutions

• Perform functional, regression, integration, back-end, compliance and web-services testing as needed for the application or service

• Identify improvement and automation opportunities and implement accordingly

• Participate in Production Emergency Bug Fixes

• Understand and observe how products are being used by clients to determine if any enhancements or bug fixes are necessary

• Keep current with company quality standards

Minimum Qualifications

• Bachelor’s degree in computer science or a related field, or equivalent experience

Preferred Qualifications

• 1 year of experience with quality assurance, testing methodologies and analyzing application failures/defects

• 1 year of experience with web-based applications

• 1 year of experience in automated testing and automated testing tools

• 1 year of experience with commonly used object-oriented programming languages

• Proficiency in the Microsoft Office suite

• Understanding of the Software Development Lifecycle