Data Engineer, Analytics

(Menlo Park, CA)

Facebook's mission is to give people the power to build community and bring the world closer together. Through our family of apps and services, we're building a different kind of company that connects billions of people around the world, gives them ways to share what matters most to them, and helps bring people closer together. Whether we're creating new products or helping a small business expand its reach, people at Facebook are builders at heart. Our global teams are constantly iterating, solving problems, and working together to empower people around the world to build community and connect in meaningful ways. Together, we can help people build stronger communities — we're just getting started.

Do you like working 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. In this role, 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 a full time position based in our office in Menlo Park.

Responsibilities

  • Manage data warehouse plans for a product or a group of products.
  • Interface with engineers, product managers and product analysts to understand data needs.
  • Build data expertise and own data quality for allocated areas of ownership.
  • Design, build and launch new data models in production.
  • Design, build and launch new data extraction, transformation and loading processes in production.
  • Support existing processes running in production.
  • Define and manage SLA for all data sets in allocated areas of ownership.
  • Work with data infrastructure to triage infra issues and drive to resolution.

Minimum Qualifications

  • 2+ years experience in the data warehouse space.
  • 2+ years experience in custom ETL design, implementation and maintenance.
  • 2+ years experience working with either a MapReduce or an MPP system.
  • 2+ years experience with object-oriented programming languages.
  • 2+ years experience with schema design and dimensional data modeling.
  • 2+ years experience in writing SQL statements.
  • Ability to analyze data to identify deliverables, gaps and inconsistencies.
  • Ability in managing and communicating data warehouse plans to internal clients

Preferred Qualifications

  • BS/BA in Technical Field, Computer Science or Mathematics.
  • Knowledge in Python or Java

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