Netflix is looking to solve the problem of securing members' data and safeguarding technology infrastructure, by building scalable data products and frameworks that provide essential insights into security, fraud, and technology risks across both customer accounts and internal systems.
Requirements
- Highly proficient in at least one of Java, Python, or Scala (Scala preferred)
- Advanced SQL skills and effective in complex data environments.
- Deep experience (minimum 4 years) engineering data pipelines using big data technologies (Spark, Presto, Flink, etc.) on medium to large-scale datasets.
- Experienced in security: Prior experience in the security domain is strongly preferred.
- At least 10 years of software/data engineering experience.
- Proficient in data technologies such as Spark, Presto, Flink, Kafka, and others
- Ability to build scalable data pipelines, write ETL jobs to collect and aggregate data, and create high-quality data models
Responsibilities
- Engineer efficient, adaptable, and scalable data pipelines to process structured and unstructured data.
- Develop a deep understanding of the security ecosystem at Netflix, including infrastructure topology, access controls, security policies, and usage patterns.
- Partner with security engineering teams to understand product goals and provide data that empowers teams to improve our security posture.
- Maintain and rethink existing datasets and pipelines to ensure they remain robust and relevant.
- Build robust, reliable, and useful data sets that power advanced analytics, including regression, classification, and clustering.
- Mentor and inspire teammates while elevating the impact of the team.
- Enable Netflix to effectively manage security risk while maintaining a high standard of member trust and data protection.
Other
- Cross-functional collaborator: Comfortable working with multiple stakeholder groups, including engineering, analytics, and data science.
- Leadership: Able to independently lead large, complex systems design and implementation challenges.
- Bachelor's, Master's, or Ph.D. degree in Computer Science or related field (not explicitly mentioned but implied)
- Ability to work in a fast-paced environment and adapt to changing priorities
- Strong communication and collaboration skills
