Data Engineer

Industry: Technology
Company size: 11-50

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Job description

A rapidly-growing company providing an in-depth view into the workforces of businesses around the world is looking for a Data Engineer. The engineer will help determine the appropriate data architecture and implement relevant technical solutions. The US-based company is offering its services to a wide range of customers, including investors, corporate strategists, HR teams, and governments. It has so far raised $3.8 mn+ during the Seed round of funding.


Job Responsibilities:

  • Handle challenges related to data transformation and extraction, process automation, and database maintenance
  • Ability to create an impact by owning the database of major projects
  • Lead the team efforts to orchestrate and deliver data engineering solutions
  • Take ownership of the entire data life from ingestion to processing and ETL to delivery 
  • Work with a team of Ph.D. data scientists with advanced domain expertise

Job Requirements:

  • Bachelor’s/Master’s degree in Engineering, Computer Science (or equivalent experience)
  • At least 2+ years of relevant experience as a data engineer
  • Extensive experience in Python, Bash, SQL, Database Systems & Architecture
  • Solid understanding of engineering best Practices in organizing data to support large-scale analytics application
  • Comprehensive knowledge of web frameworks (e.g. Flask) is a plus
  • Good organizational skills 
  • Fluent in verbal and written English 

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In a nutshell, Turing aims to make the world flat for opportunity. Turing is the brainchild of serial A.I. entrepreneurs Jonathan and Vijay, whose previous successfully-acquired AI firm was powered by exceptional remote talent. Also part of Turing’s band of innovators are high-profile investors, such as Facebook's first CTO (Adam D'Angelo), executives from Google, Amazon, Twitter, and Foundation Capital.

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Turing is an equal opportunity employer. Turing prohibits discrimination and harassment of any type and affords equal employment opportunities to employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, age, disability status, protected veteran status, or any other characteristic protected by law.

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