Senior Analytics Engineer, Data Platforms Analytics

  •  Netflix
  •  Los Gatos, California
  •  Aug. 17, 2017

Job Description

Who we are
Netflix’s cloud platforms, data platforms and internal tools play a key role in making each moment-of-truth captured by Netflix a great experience. The Cloud Infrastructure Analytics team supports the brilliant engineers who architect, manage and evolve these platforms to scale efficiently and effectively. We create smart analytic products that provide data and insights that the engineers need to make the best possible decisions.
We are looking for a Senior Analytics Engineer to work directly with our data platform engineering team to build insightful data products (data pipelines, dashboards, and analysis). You will support and contribute to fine tuning the data infrastructure of Netflix, ensuring that users of the platform focus on the business and metrics rather than infrastructure problems.
Some of our current challenges revolve around making platform operations data driven. This includes, but not limited to, dynamic cluster resource allocation, guiding performance improvements to big data processing jobs, providing more context on data lineage and reducing security and privacy risks.

What you’ll do

    • Develop subject-matter expertise in the domain of data platform environment at Netflix
    • Be a trusted partner to the data platform engineering team and guide them on using data to make the platform better
    • Identify opportunities for optimizations using various analytic techniques (regression, classification, clustering etc…)
    • Build highly reliable data products that engineers can use to improve platform performance and management

Who you are

    • You share our passion for producing high quality, timely analytic work and continuously improving the ways we use data to make Netflix infrastructure better
    • You have experience in big data analytics and understand issues that analytic professionals face.
    • You are an engineering-minded analyst with 6 to 7 years of professional experience in the data space.
    • You have  2 to 3 years of experience applying analytic techniques and building analytic tools/products.
    • You excel at taking vague requirements and crystallizing them into valuable tools and perspectives.
    • You are an expert at manipulating and analyzing data programmatically (Python, R, Spark, Scala...).
    • You are very comfortable with SQL.
    • You have experience in  in basic data mining algorithms (regression, classification, clustering, anomaly detection etc….)
    • You have exceptional communication skills.

We expect a lot.  Our culture is unique and we live by our values, so it's worth learning more about it at We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.