Data Engineer - Analytics, Intern/Co-op

Company Name:
Salary period: Annual
Additional classifications: Engineering
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, Product Analysts and Internet 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 Menlo Park.
â ¢ Architect, implement and deploy new data models and data processes in production.
â ¢ Perform data analysis to generate business insights.
â ¢ Interface with Engineers, Product Managers and Product Analysts to understand product goals and data needs.
â ¢ Build data expertise and own data quality for allocated areas of ownership.
â ¢ Manage data warehouse plans for a product or a group of products.
â ¢ Support critical data processes running in production.
â ¢ Must be available for a 12-week internship (co-op students 14-week internship) between August 2014 and January 2015
â ¢ Pursuing a BS, MS, or PhD degree in one of the following areas: Computer Science, Engineering, Mathematics, Physics, or related technical field.
â ¢ Programming expertise in a language of your choice.
â ¢ Knowledge of SQL.
â ¢ Experience in ETL framework is a plus.
â ¢ Knowledge of database systems.
â ¢ Excellent written and oral communication skills.
â ¢ Curious, self-driven, analytical and excited to play with data.
â ¢ Ability to thrive in a fast paced work environment.
EOE Minorities/Females/Protected Veterans/Individuals with a disability.

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