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Data Engineering Manager, Analytics - Remote Eligible

Lead the development of a company-wide data warehouse architecture for analytics
Menlo Park, California, United States
Senior
2 days ago
Meta Platforms

Meta Platforms

A leading technology company specializing in social media platforms, virtual reality, and the development of the metaverse.

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Data Engineering Manager, Analytics

Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.

Responsibilities:

  • Design and develop creative and innovative solutions to manipulate and transform data coming from diverse domains and components operating in facebook.com, such as advertisements and pages, as well as other custom software systems and databases.
  • Design, architect and develop data solutions that help product and business teams make data driven decisions.
  • Lead data solution design efforts from beginning to end, as well as process for the development and implementation of data integration for external insights.
  • Work on Data Warehouse and operational Data Store.
  • Leverage a homegrown Extract, Transform, Load (ETL) framework as well as off-the-shelf ETL tools, as appropriate.
  • Collaborate with data infrastructure and engineering teams to build and extend cross platform ETL and reports generation frameworks.
  • Provide consultation to business partners, analysts, managers, end users and developers to clarify work objectives, determine project scope, obtain consensus, identify problems and recommend solutions.
  • Support end users on ad hoc data usage and serve as a subject matter expert on functional matters.
  • Develop ETL using Python, Perl PHP or similar technologies.
  • Apply expert knowledge of ETL techniques and best practices to manage extremely large volumes of data, Data warehousing architecture, data modeling best practices, MicroStrategy or other similar Business Intelligence (BI) reporting solutions.
  • Work with database programming and performance tuning techniques and strong analytical skills, including the ability to define problems, collect data, establish facts, and draw valid conclusions.
  • Telecommuting from anywhere in the U.S. allowed.

Minimum Qualifications:

  • Requires a Master's degree in Computer Science, Applied Sciences, Mathematics, Information Systems, Information Technology, Management or related field and three years of work experience in the job offered or in a computer-related occupation.
  • Requires three years of experience in the following:
    • Data warehouse space
    • Custom ETL design, implementation and maintenance
    • Working with either a MapReduce or an MPP system
    • Object-oriented programming languages
    • Schema design and dimensional data modeling
    • Writing SQL statements
    • Analyzing data to identify deliverables, gaps and inconsistencies
    • Managing and communicating data warehouse plans to internal clients

Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

Meta is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here.

Meta is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, fill out the Accommodations request form.

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Data Engineering Manager, Analytics - Remote Eligible
Menlo Park, California, United States
Engineering
About Meta Platforms
A leading technology company specializing in social media platforms, virtual reality, and the development of the metaverse.