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Facebook Internships - Engineering, Tech & Design

 
Picture of Роман Станиславович Самарев
Re: Facebook Internships - Engineering, Tech & Design
by Роман Станиславович Самарев - Wednesday, 2 November 2016, 11:05 AM
 

Data Engineer, Analytics - London Intern (Summer 2017)

(London, United Kingdom)
Facebook was built to help people connect and share, and over the last decade our tools have played a critical part in changing how people around the world communicate with one another. With over a billion people using the service and more than fifty offices around the globe, a career at Facebook offers countless ways to make an impact in a fast growing organization.
Facebook was built to help people connect and share, and over the last decade our tools have played a critical part in changing how people around the world communicate with one another. With over a billion people using the service and more than fifty offices around the globe, a career at Facebook offers countless ways to make an impact in a fast growing organization. Would you like to work with big data? Do you want to use data to influence product decisions for products being used by over half a billion people every day? If yes, we want to talk to you. Our data warehouse team works very closely with Product Managers, Data Scientists and Growth Marketers to figure out ways to acquire new users, retain existing users and optimize user experience - all of this using massive amounts of data. In this role, you will see a direct link between your work, company growth, and user satisfaction. You will work with some of the brightest minds in the industry, and you'll get an opportunity to solve some of the most challenging business problems on the web and mobile Internet, at a scale that few companies can match.  This is an internship position based in our office in London.

Responsibilities

  • Collaborate with other Engineers, Data Scientists and Product Managers to understand product goals and data needs.
  • Design, implement and deploy new data models and data processes in production.
  • Build data expertise and own data quality for allocated areas of ownership.
  • Manage data warehouse plans for a product or a group of products.
  • Support critical data processes running in production.
  • Perform data analysis to generate business insights.

Minimum Qualification

  • A BS, MS, or PhD degree in one of the following areas: Computer Science, Mathematics, Physics, or related technical filed.
  • Working knowledge of Python and SQL is required.
  • Experience in ETL framework is a plus.
  • Knowledge of database systems.
  • Curious, self-driven, analytical and excited to play with data.

https://www.facebook.com/careers/jobs/a0I1200000JXdLYEA1/