Data Quality Engineer

San Francisco, CA | Direct Hire

Post Date: 12/14/17 Job ID: 17120404-SDIT Industry or Function: Software Engineering Compensation: TBD/Market rate + Bonus

JOB #: 17120404-SDIT

As a Data Quality Engineer for our client, you will design and execute the testing strategy for our core data services team. You will be responsible for creating, evaluating, and maintaining test plans and test cases for the current and upcoming projects. The position requires working directly with development teams, product managers, and data analysts. You will contribute to our existing automation testing framework. The ideal candidate will have a passion for data and strong systems and infrastructure knowledge. Even better if you have experience testing products that are built using data science techniques such as machine learning and complex analytics.

Job Duties:
• Minimum three (3) years experience as a quality assurance engineer in the capacity of a data testing automation engineer
• BS degree in computer science or related field (an equivalent combination of related education, training, and experience may be considered), or equivalent work experience.
• Must have extensive knowledge developing automated test scripts using SQL supporting the testing of ETL, data migration or data warehouse
• Experience with ETL testing tools (e.g. Informatica)
• Experience with test case development, test plan development, requirements traceability matrices, data mapping, and defect management
• Agile testing experience
• Experience testing under Linux and knowledge of programming language such as Python or Bash

Salary Range and Bonus Potential:
TBD/Market rate + Bonus

• 401K program plus matching
• 100% Medical, Dental and Vision for employee and vast majority for dependents
• 100% Life and Disability coverage
• 11 paid Holidays with Flexible Time Off plan
• FSA’s (Flexible Spending Accounts)
• Well stocked kitchens
• Health club discounts


Job Requirements:
• Preferred skills:
• Experience in REST API testing
• Familiarity with data science techniques


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