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Manager Playback Data Engineering

The Netflix product experience is what enables our members to enjoy Netflix across all types of devices around the world. Data-driven decisions and experimentation are central to Netflix s product innovation approach. We are looking for an experienced data engineering leader who can partner with data science & engineering teams to support the playback experience at Netflix. Whether spotting device outages, optimizing encodes, or simply measuring the playback experience, your team of engineers will curate the data Netflix uses to optimize and deliver our global streaming experience.

What will fill your days

    • Recruiting: You are constantly on the lookout for talent and have a knack for recognizing and attracting top-tier engineers to your team. You understand the importance of building an amazing team and the value it brings to the overall company.
    • Feedback & Development: You see people s strengths/weaknesses and are both gifted and courageous in talking with them about it.
    • Visionary: You intuitively understand business and technology and you leverage that to guide a team providing relevant context and inspiration.
    • Partnership: You establish strong relationships with both business and technical leaders across Netflix.

Character & Qualities that will help you Succeed

    • You re willing to risk rejection. When you fail, you learn and are willing to try again.
    • You re not afraid of hard conversations and sharing your perspective.
    • You re a natural leader but your team & colleagues see your humility.
    • You re a creative revolutionary, forward thinking, & pro-active.
    • You possess a solid sense of business acumen.
    • You listen and communicate well.
    • You re allergic to micromanagement. You prefer to give context, delegate, and watch amazing people exceed your hopes and expectations.

Technology

    • You have used big data technologies (i. e. Spark/MapReduce/Hadoop/Pig, etc ) at one point in your career and built large scale data pipelines
    • You have experience working with data at extreme scale
    • You have a software engineering background with significant coding experience (scala, java, etc...)
    • You have used SQL and reporting tools at one point in your career and are analytically savvy.


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