Remote Quality Engineer - Data Level 2

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RESPONSIBILITIES:

Kforce has a client in Cincinnati, OH that is seeking a Level 2 Quality Engineer - Data to join their team on a 6-month contract. Remote candidates will be accepted in EST/CST time zones only, no exceptions. This is not a typical QA role. The right candidate will have a good mix of QA and Data Engineering.

Summary:

• Effectively work in a fast-paced environment utilizing the Agile methodology
• Develop and maintain functional automation test scripts utilizing modular frameworks and best practices
• Execute test scripts to validate correct functionality of application
• Use SQL for back-end database validation
• Perform various types of testing including smoke, white box, black box, integration, end-to-end, regression, and system testing as needed
• Participate in requirement & design review sessions; evaluate requirements and design docs from a quality test automation standpoint
• Manage test coverage based on risk analysis
• Document defects and evaluate priority of defect based on overall application functionality
• Coordinate test script reviews with stakeholders as appropriate
• Adhere to requirement review, defect writing and test script writing guidelines
• Ensure completion of all deliverables within schedule, budget and quality constraints
• Participate in Root Cause Analysis sessions
• Ensure that projects follow prescribed software development life cycle standards
• Develop and maintain good relationships with project team
• Multitask to meet assignment deadlines
• Accurately estimate work assignments
• Show assertiveness
• Identify obstacles and roadblocks; And offer suggestions to work around obstacles
• Help drive and improve QA process within the team you are assigned
  
  

REQUIREMENTS:

• 6+ years of QA experience
• Experience working with CI tools (Jenkins, TeamCity, GitLab etc.)
• Experience with QA processes and deliverables in an Agile/Scrum environment
• Proficient in defect tracking and analyzing root cause utilizing tools (Jira, Rally, etc.)
• Strong understanding of automation and performance concepts and approaches
• Experience working with or on remote teams
• Understand and utilize risk-based testing technique
• Experience in test environment and test data management
  
  

Specialization/Role Requirements for Automation:

• 3+ years of hands-on testing experience in Data Bricks, Spark, PySpark using Python language
• 3+ years of hands-on testing experience on Data and ETL workflows using tools like (Informatica IDQ, DVO, etc.)
• 2+ years of experience in advanced SQL
• Demonstrated experience in creating and testing mappings (with transformations like Joiners, Sorters, Filters, Routers, etc.)
• Experience in ETL and Data frameworks, processes, strategies, and approaches
• Good understanding of Databases (relational and non-relational)
  
  

The pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future.

We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave.

Note: Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce's sole discretion unless and until paid and may be modified in its discretion consistent with the law.

This job is not eligible for bonuses, incentives or commissions.

Kforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.

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