Data Quality Assurance Engineer
Lending Club (NYSE: LC) opened in 2007 with one simple mission: create a more efficient, transparent and customer-friendly alternative to the traditional banking system that offers creditworthy borrowers lower interest rates and investors better returns. Today, we’re the world’s largest online credit marketplace, and we’re radically changing the way lending operates. We’re proud of the recognition we’ve received, including being named a World Economic Forum Technology Pioneer, a CNBC Disruptor 50, and one of The World’s 10 Most Innovative Companies in Finance by Fast Company. We’re conveniently located in downtown San Francisco, California.
Why Join Us?
We offer all the important stuff like competitive salaries, equity, 100% paid medical and dental, and because we’ve been around longer we also have stuff like great food, game rooms, a super convenient location in downtown SF and a 401K match.
More importantly, we’re the clear market leader, which gives us awesome momentum. As Forbes put it, “While not often thought of as a “sharing economy” company, given the massive size of the financial industry Lending Club could end up being one of the most disruptive–and largest–companies in this sector.”
We think one of our own employees put it best: “Many companies talk about reshaping an industry, but Lending Club is one of the few that is actually achieving this lofty goal. Growth comes in monthly leaps that just seem to keep accelerating, leading to ever-larger opportunities. There is an intriguing focus on how to get more efficient and do bigger things. Working here is definitely a chance to be a part of something special.”
Lending Club is looking for an experienced QA Engineer to work hand-in-hand with our Data Services team and ensure the quality of ETL, Reporting, and other business intelligence functions. You will have the opportunity to solve complex problems on our Big Data Platform with AWS.
Ideal Candidate and Requirements
- Strong SQL skills and extensive knowledge of databases (Oracle, Hive, Aurora, MySQL)
- Experience with DW/ETL concepts and related QA practices
- Experience with reports data validations, source to target mapping testing
- Familiarity with Unix and basic Unix shell scripting
- Exposure to data mining, statistics, analytical methods, and predictions
- Experience with Java Test Automation (jUnit or TestNg)
- Experience with software development tools such as Git, Maven, Jenkins, and Jira
- Experience with Hadoop ecosystem and Cloud computing
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