Los Gatos, California Product Data Science and Engineering Senior Data Engineer, Security Its an amazing time to join Netflix as we continue shaping the future of global entertainment. We are bringing new stories to millions of people worldwide by promoting our original, exclusive content. The Security Data Science & Engineering (DSE) team partners with our Information Security team to enable data science, analytic and data engineering needs to reduce our risk and ensure our service & ecosystem is secure. We are looking for a Senior Data Engineer to join the Security DSE team to lead data engineering efforts that support our member security initiatives across the company. This role will partner closely with Customer Trust & Streaming Security, two central security engineering teams, to support a broad strategic vision across account takeover, service abuse, content theft, customer targeted scams and more. You will be responsible for building scalable and adaptable pipelines to support efforts across fraud experimentation, fraud detection & ML models and metrics & reporting. As a senior member of this team, this role will also partner directly with our business stakeholders to identify opportunities where similar data and data products can be leveraged for more than one use-case. What you will do:
* Engineer efficient, adaptable and scalable data pipelines to process structured and unstructured data
* Develop subject-matter expertise in the Customer Trust & Streaming Security domain at Netflix
* Be a trusted partner to the Information Security and Streaming Security teams and empower them with data to efficiently scale Netflix
* Maintain and rethink existing pipelines to service a wider variety of use cases
* Build robust data sets that can power various use-cases, such reporting and analytics, scalable fraud detection, fraud-driven ML models etc.
Who you are:
* You have a software engineering mindset and are passionate about intuitive data models and distributed data processing patterns
* You are experienced in engineering data pipelines using modern big data technologies (Presto, Spark, Flink etc...) on large scale data sets
* You have a working knowledge of distributed data stores like Druid and ElasticSearch
* You are proficient in manipulating large data sets with complex SQL (Presto, Spark SQL, Hive)
* You are proficient in at least one of Java, Python or Scala
* You are able to operate independently and willing to learn new technologies and frameworks
* You excel at taking vague requirements and crystallizing them into scalable data solutions
* You are able to multitask and work on multiple ongoing projects, with minimal oversight, documentation, and defined process.
* You have excellent communication skills to collaborate with cross functional partners and independently drive projects and decisions
* Experience working in the Security domain preferred
Its an amazing time to join Netflix as we continue shaping the future of global entertainment. We are bringing new stories to millions of people worldwide by promoting our original, exclusive content. The Security Data Science & Engineering (DSE) team partners with our Information Security team to enable data science, analytic and data engineering needs to reduce our risk and ensure our service & ecosystem is secure.
We are looking for a Senior Data Engineer to join the Security DSE team to lead data engineering efforts that support our member security initiatives across the company. This role will partner closely with Customer Trust & Streaming Security, two central security engineering teams, to support a broad strategic vision across account takeover, service abuse, content theft, customer targeted scams and more. You will be responsible for building scalable and adaptable pipelines to support efforts across fraud experimentation, fraud detection & ML models and metrics & reporting. As a senior member of this team, this role will also partner directly with our business stakeholders to identify opportunities where similar data and data products can be leveraged for more than one use-case.
What you will do:
* Engineer efficient, adaptable and scalable data pipelines to process structured and unstructured data
* Develop subject-matter expertise in the Customer Trust & Streaming Security domain at Netflix
* Be a trusted partner to the Information Security and Streaming Security teams and empower them with data to efficiently scale Netflix
* Maintain and rethink existing pipelines to service a wider variety of use cases
* Build robust data sets that can power various use-cases, such reporting and analytics, scalable fraud detection, fraud-driven ML models etc.
Who you are:
* You have a software engineering mindset and are passionate about intuitive data models and distributed data processing patterns
* You are experienced in engineering data pipelines using modern big data technologies (Presto, Spark, Flink etc...) on large scale data sets
* You have a working knowledge of distributed data stores like Druid and ElasticSearch
* You are proficient in manipulating large data sets with complex SQL (Presto, Spark SQL, Hive)
* You are proficient in at least one of Java, Python or Scala
* You are able to operate independently and willing to learn new technologies and frameworks
* You excel at taking vague requirements and crystallizing them into scalable data solutions
* You are able to multitask and work on multiple ongoing projects, with minimal oversight, documentation, and defined process.
* You have excellent communication skills to collaborate with cross functional partners and independently drive projects and decisions
* Experience working in the Security domain preferred
Los Gatos, CA
Netflix, Inc. is an American media-services provider and production company headquartered in Los Gatos, California, founded in 1997 by Reed Hastings and Marc Randolph in Scotts Valley, California. The company's primary business is its subscription-based streaming service which offers online streaming of a library of films and television programs, including those produced in-house.As of April 2019, Netflix had over 148 million paid subscriptions worldwide, including 60 million in the United States, and over 154 million subscriptions total including free trials.It is available almost worldwide except in mainland China (due to local restrictions) as well as Syria, North Korea, Iran, and Crimea (due to US sanctions). The company also has offices in the Netherlands, Brazil, India, Japan, and South Korea. Netflix is a member of the Motion Picture Association of America (MPAA).
Netflix is a global internet entertainment service reinventing how the world watches television, with over 150 million members in 190 countries around the globe enjoying our award-winning TV series, documentaries and feature films across a wide variety of genres and languages. Data platform is the core foundation enabling all of our product decisions that directly impact our customer experience when they watch Netflix.