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To be successful in this role, you need to be a strong people leader; great at giving and receiving feedback, fostering new ideas, and empowering others. You also need strong data and engineering backgrounds, to be a quick and data-driven learner, and the ability to lead large multi-disciplinary, cross-functional teams.
Responsibilities:You intuitively understand business and technology and you leverage that to guide a team by providing relevant context and inspiration.
You are a strong people leader who also demonstrates humility. You care deeply about people, and their success. You invest in your relationships, so that you have an understanding of the whole person and their perspective.
You’re not afraid of tough conversations, and are experienced in coaching your colleagues through difficult situations. You are comfortable sharing your perspective on challenging people dynamics.
You seek to de-escalate tense situations, and are creative & flexible in finding balance with partners to maximize impact.
You are a strong communicator, and self-aware about how others perceive your comments. As someone in a leadership role you aim to be assertive, not passive nor aggressive, in providing input, support, and feedback.
You are forward-looking and able to anticipate the investments Netflix should be making to improve efficiency, innovation, and alignment. You identify areas for continuous improvement, and persistently advocate for action to address them.
You’re allergic to micromanagement. You prefer to give context, delegate, and watch amazing people exceed your hopes and expectations.
You have strong business intuition, product sense, and analytic chops.
You have 8+ years of experience in data engineering. You have strong programming (at least 1 major language) and SQL experience in your background.
You have 4+ years of engineering leadership experience.
You have worked in a technical role with a large scale consumer facing digital company.
You have a MS in Computer Science/Engineering, or related field.
You have strong experience with distributed data processing technologies (i.e. Spark/Hadoop, etc.)
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