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Home » Facebook Intern – Data Engineer Manager In Southgate, United States

Facebook Intern – Data Engineer Manager In Southgate, United States

    Website Facebook

    Job Description:

    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.

    Job Responsibilities:

    • Understand business needs, context and gaps and creatively come up with possible solutions to problems by leveraging Data infrastructure knowledge.
    • Hold your own in technical discussions, be a subject matter expert, and have strategic influence.
    • Recruit, inspire, and develop team members, effectively supporting a medium-sized engineering team.
    • Communicate cross-functionally across various teams, organizations and internal and external stakeholders to drive solve business problems via engineering efforts.
    • Work together with product management and software engineering teams to design and develop tooling/reporting and analytics systems.
    • Be a combination of a highly-technical hands-on data engineer with end-to-end systems knowledge and an effective people manager.
    • Encourage a data-driven culture to improve the efficiency, scalability, stability and security of business applications and in-house systems to help scale the company.

    Job Requirements/Qualifications:

    • 7+ years work experience including at least 2 years of direct people management experience
    • Experience with engineering disciplines, systems design, SQL, Python, ETL and Data Modeling
    • Bachelor’s degree in engineering or quantitative disciplines such as math, statistics, computer science, information systems

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