Data Engineer, Analytics

  • Oculus
  • Zürich, ZH, Switzerland
  • 01/12/2021
Full time Data Engineering Big Data Data Management Biostatistics

Job Description

At Facebook Reality Lab, we are helping more people around the world come together and connect through world-class AR and VR hardware and software. With global departments dedicated to AR/VR research, computer vision, haptics, social interaction, and more, Facebook is committed to driving the state of the art forward through relentless innovation. Products such as the Oculus Quest are already changing the perception and acceptance of VR for the general public, and proving that AR/VR’s potential to change the world is immense — and we’re just getting started. Do you like working with big data? If yes, we want to talk to you. Our data warehouse team works very closely with Product Managers, Data Scientists and Software Engineers to figure out ways to optimize user experience, retain users and push the boundaries of what AR/VR experiences can be - 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 problems in this innovate field, at a scale that few companies can match.

  • Manage and execute data warehouse plans for a product or a group of products to solve well-scoped problems.
  • Identify the data needed for a business problem and implement logging required to ensure availability of data, while working with data infrastructure to triage issues and resolve.
  • Collaborate with engineers, product managers and data scientists to understand data needs, representing key data insights visually in a meaningful way.
  • Build data expertise and leverage data controls to ensure privacy, security, compliance, data quality, and operations for allocated areas of ownership.
  • Design, build and launch new data models and visualizations in production, leveraging common development toolkits.
  • Independently design, build and launch new data extraction, transformation and loading processes in production, mentoring others around creating efficient queries.
  • Support existing processes running in production and implement optimized solutions with limited guidance.
  • Define and manage SLA for data sets in allocated areas of ownership.
  • Work with data infrastructure to triage infra issues and drive to resolution.
  • Experience in the data warehouse space.
  • Experience in custom ETL design, implementation and maintenance.
  • Experience with object-oriented programming languages.
  • Experience with schema design and dimensional data modeling.
  • Experience in writing SQL statements.
  • Experience analyzing data to identify deliverables, gaps and inconsistencies.
  • Experience managing and communicating data warehouse plans to internal clients.
  • Experience working with either a MapReduce or an MPP system.
  • Experience working within the field of Computer Vision
  • BS/BA in Technical Field, Computer Science or Mathematics.
  • Knowledge and practical application of Python.

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.