Senior Distributed Systems Engineer, Big Data Compute
Los Gatos, California
Applications have closed
Netflix
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About Netflix:Netflix is the world's leading streaming entertainment service with 214 million paid memberships in over 190 countries enjoying TV series, documentaries, feature films and mobile games across a wide variety of genres and languages. Members can watch as much as they want, anytime, anywhere, on any Internet-connected screen. Members can play, pause and resume watching, all without commercials or commitments.
About the team:Big Data Compute team is at the forefront of cloud architecture and big data analytics. Our systems ingest hundreds of billion events daily and the volume is growing rapidly as we expand globally. The data we collect is curated into a petabyte scale warehouse to serve our Data Science and Engineering as well as Machine Learning teams in making decisions across every aspect of our business. To query this data, we maintain a world-class big data platform. This represents a unique opportunity to work with the open source community and build out the best analytics platform in the cloud for our global offering.
In this role, you will be contributing to Netflix’s industry leading big data processing platform and working with other companies invested in big data to build out open source big data solutions.
We are an equal opportunity employer and celebrate diversity, recognizing that diversity of thought and background builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
About the team:Big Data Compute team is at the forefront of cloud architecture and big data analytics. Our systems ingest hundreds of billion events daily and the volume is growing rapidly as we expand globally. The data we collect is curated into a petabyte scale warehouse to serve our Data Science and Engineering as well as Machine Learning teams in making decisions across every aspect of our business. To query this data, we maintain a world-class big data platform. This represents a unique opportunity to work with the open source community and build out the best analytics platform in the cloud for our global offering.
In this role, you will be contributing to Netflix’s industry leading big data processing platform and working with other companies invested in big data to build out open source big data solutions.
Specifically, you will:
- Work with various teams inside Data Platform such as Kragle (that provides Python library for programmatic access to the Data Platform) and Big Data Portal (Data Experience) team in order to design, code, test and deliver code that interfaces compute engines like Spark and Presto/TrinoDb with Kragle and DX.
- Be a liaison to help data scientists for building/diagnosing big data queries
This is your dream job if you:
- Are a versatile, middleware engineer with a passion to design and write code to bridge components and software products especially involving open source projects
- Seek out opportunities to engage and contribute to the open source community
- Work well in a cross-functional environment and excel in communicating with your peers
- Thrive on working in a fast-paced, evolving, growing, dynamic environment
- Have a BS/MS/PhD in Computer Science or related field and 3+ years experience working in a role similar to this, in a distributed systems environment.
We are an equal opportunity employer and celebrate diversity, recognizing that diversity of thought and background builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
Tags: Big Data Computer Science Data Analytics Distributed Systems Engineering Excel Machine Learning Open Source PhD Python Spark Streaming
Perks/benefits: Team events
Region:
North America
Country:
United States
Job stats:
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Categories:
Big Data Jobs
Engineering Jobs
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