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We are looking for a Data Engineer to build reliable data pipelines and easy-to-use data products that allow our stakeholders to easily leverage data in an effective manner. As part of this team, you will work on diverse data technologies such as Spark, Presto, Flink, Kafka and others to build insightful, scalable and robust data pipelines; write ETL jobs to collect and aggregate data; and build high quality data models that describe the entities, interactions and usage patterns of our technology footprint.
Who you are:
Passionate about building intuitive data products to understand and mitigate security risks
Highly proficient in at least one of Java, Python or Scala (Scala preferred) with at least 2 years of data engineering experience
Advanced level SQL skills in a complex data environment
Experienced in engineering data pipelines using big data technologies (Spark, Presto, Flink etc.) on medium to large scale data sets
Comfortable working cross functionally with multiple types of stakeholders groups
Able to successfully lead large, complex systems design and implementation challenges independently
Prior experience in the security space is strongly preferred
What you will do:
Engineer efficient, adaptable and scalable data pipelines to process structured and unstructured data
Develop a deep understanding of the security ecosystem at Netflix
Partner with the security engineering teams to understand product goals and provide data which empowers teams to improve our security posture
Maintain and rethink existing datasets and pipelines
Enable smart analytics by building robust, reliable, and useful data sets that can power various analytic techniques like regression, classification, clustering etc
Join a stunning team of data engineers with diverse skill sets, partnering closely with analytics engineering and data science counterparts
Job is open for no less than 7 days and will be removed when the position is filled.
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