11 days old

Data Engineer, Commerce Engineering - Facebook

Menlo Park, California

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.

Are you passionate about data? Do you like working with big data? If yes, we want to talk to you! Data and associated analytics play a huge role in the success of Facebook. We have diverse business needs and very large-scale data. This makes it a wonderful and exciting challenge to provide scalable, actionable, reliable and timely data for our company. The Enterprise mission is to ship people-centric Enterprise solutions that transform and accelerate Facebook's business.
The Data Engineering team within Commerce Engineering illuminates what might otherwise be hidden. By shaping the information we gather and by creating new conceptual models to understand it, we bridge the gap between the products our team builds and the businesses across Facebook we design for.Our partners includes any team in AR/VR dedicated to the sale, marketing, analytics and customer support of Portal and Oculus. We also work closely with Facebook teams who guide the manufacturing, logistics, forecasting and fulfillment of our consumer hardware.We surface insights using a custom-built data platform — one that helps our partners make informed decisions with data that drives the future of Facebook's commerce business.
In this role, you’ll see a direct link between your work, company growth, and user satisfaction. You’ll work with some of the brightest minds in the industry, work with one of the richest data sets in the world, use cutting edge technology, and get an opportunity to solve some of the most challenging business and engineering problems, at a scale that few companies can match. You will do so by partnering with stakeholders/teams and building scalable solutions that provide business critical insights and metrics, while ensuring the best uptime and responsiveness.
This is a full-time position based in our office in Menlo Park, CA.

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.

Requirements

Minimum Qualification

  • 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 creating SQL statements.
  • Experience analyzing data to identify deliverables, gaps and inconsistencies.
  • Experience managing and communicating data warehouse plans to internal clients.

Preferred Qualification

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

Facebook is proud to be an Equal Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Facebook is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at [email protected]

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Posted: 2019-06-06 Expires: 2019-08-05

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Data Engineer, Commerce Engineering - Facebook

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