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Senior Data Quality Engineer for an Automotive Company

Remote in India
Automated Testing in Python
& 3 others
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Sorry, this position is no longer available

We're looking for a remote Senior Data Quality Engineer with experience with a strong background in Java and/or Python and AWS experience to join our team.

The customer is an international multibrand company which includes auto auctions and wholesale services, financial services, media, and software. It is the only company in the world that offers a complete set of solutions for the automotive dealer - from inventory and marketing to sales and service.

Responsibilities
  • Predict buy rate & dealer reserve based on shopper’s willingness to pay and dealer’s risk propensity
  • Calculation of penny perfect payment based on predicted deal parameters saving manual effort and time
  • Remove human bias to optimize lender, deal terms, rate and monthly payment
  • Automated dealer profit maximization and deal acceptance probability
  • Personalized insurance products recommendations on the fly satisfying dealer criteria
  • Front end and back end profit maximization for overall deal structure
Requirements
  • 3+ years of hands-on experience in a Data Quality Engineer (or similar) role
  • Strong background in Java and/or Python
  • AWS experience
  • Experience in testing of the ETL pipelines APIs, and data quality
  • Ability to work with fluid and high-level requirements as input for test plan creation
  • Proficient English (written and spoken) B2
Nice to have
  • Experience in Big Data stack
Benefits
  • International projects with top brands
  • Work with global teams of highly skilled, diverse peers
  • Healthcare benefits
  • Employee financial programs
  • Paid time off and sick leave
  • Upskilling, reskilling and certification courses
  • Unlimited access to the LinkedIn Learning library and 22,000+ courses
  • Global career opportunities
  • Volunteer and community involvement opportunities
  • EPAM Employee Groups
  • Award-winning culture recognized by Glassdoor, Newsweek and LinkedIn

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