Data Engineer, GMS

Facebook | Menlo Park, CA

Posted Date 12/19/2018
Description Facebook is looking for exceptionally talented and experienced engineers to join GMS Technology team in Menlo Park, California. Our team provides analytics and workflow tools for Global Marketing Solutions (GMS), partnering with sales, marketing, measurement, support and operations teams.
In this role, 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, reliable solutions that provide business critical insights and metrics, while ensuring the best uptime and responsiveness. This is a full-time position based in Menlo Park, CA.


  • Manage data warehouse plans for a business vertical or a group of business verticals

  • Build data expertise and own data quality for allocated areas of ownership

  • Design, build, optimize, launch and support new and existing data models and analytical solutions

  • Partner with internal stakeholders to understand business requirements, work with cross-functional data and products teams and build efficient and scalable data solutions

  • Conduct design and code reviews

  • Work with data infrastructure to triage infra issues and drive to resolution

  • Manage the delivery of high impact dashboards, tools and data visualizations


  • BS/B.Tech./M.Tech in Computer Science, Math or related field

  • 2+ years of experience in the data warehouse space, custom ETL design, implementation and maintenance

  • 2+ years of experience in SQL or similar languages, and development experience in at least one language (Python, PHP etc.)

  • Experience with data architecture, data modeling, schema design and software development

  • Experience in leading data driven projects from definition through interpretation and execution

  • Experience with large data sets, Hadoop, and data visualization tools

  • Experience initiating and driving projects, and communicating data warehouse plans to internal clients/stakeholders

Job Category
Developer, Engineer

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