Netflix makes up 1/3 of internet traffic, and we're proud to deliver entertainment that over 148 million global customers enjoy. To provide this level of service, we need to know exactly how devices running the Netflix client behave in the field.
Decisions on how to improve performance and compatibility on millions of devices worldwide, are driven by data. We're looking for someone to transform petabytes of incoming telemetry on device characteristics and performance into well-designed, high-quality data structures that empower critical decision-making for teams within Netflix.
We track every customer action and each byte of data transferred, so you'll work with data at incredible scale and collaborate with best-in-class data engineers and analytic experts. You'll become an authority in the world of device instrumentation and performance (no prior knowledge necessary, but curiosity to learnis a must), and the projects you'll work on will be truly impactful.
What you'll do
- You'll take ownership and increase automation and scale of complex data sets that drive use cases by ouranalytical partners such as hardware capacity planning and failure prediction, understanding network topology and forecasting network traffic flow, and monitoring/improving efficiency of deployment and turnover of Netflix-encoded assets to the network.
- You'll build robust data pipelines of high data quality in a scalable fashion (both data and maintainability).
- Every video or audio file you stream from Netflix started as a file living on an editor's hard drive and became a Netflix-encoded asset sitting on a server ready to be played. You'll create the data pipelines that will let us quantify and understand that life cycle by merging system activity and customer behavior.
- We need to process data more quickly than ever to enable rapid experimentation in an increasingly nimble engineering organization. You'll help implement our business logic to be compatible with real-time/stream processing frameworks.
Who you are
- Have several of the characteristics/skills listed below and have passion and self-drive to quickly learn in areas of less familiarity. We believe the experience in your years is more important than your years of experience.
- Enjoy a high level of autonomy in managing cross-functional engineering projects. We enjoy a culture of Freedom & Responsibility.
- Have experience building production data pipelines using one or more frameworks such as Spark, Flink or Hive/Hadoop. Have hands on experience with schema design and data modeling.
- Have programming proficiency in at least one major language such as Java, Scala or Python. You have a software engineering mindset and strive to write elegant, maintainable code and you're comfortable working in a variety of tech stacks. You may even be a software engineer with a focus or passion for data-driven solutions.
- Have strong SQL skills and knowledge and familiarity with other distributed data stores such as ElasticSearch or Druid.
- Have excellent communication in sharing context to effectively collaborate with analytical partners, domain experts and other consumers of your work, preferably in supporting an engineering or product function. We like to collaborate across teams and so should you.
- Ambitious and willing to take action, but not stubborn. Awareness to recognize when you're wrong and move past your own mistakes. We are humbly confident in ourselves and our work.
Our culture is unique, and we live by our values. You will need to be comfortable working in the most agile of environments. Requirements will be vague, and iterations will be rapid. You will need to be nimble and take smart risks.