Data Engineer Intern

Internships  |  Cardiff  | ID: 8275 

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Data Engineer Intern

Teamwork makes the stream work.

Roku is changing how the world watches TV

Roku is the #1 TV streaming platform in the US, and we’ve set our sights on powering every television in the world. Roku pioneered streaming to the TV. Our mission is to be the TV streaming platform that connects the entire TV ecosystem. We connect consumers to the content they love, enable content publishers to build and monetize large audiences, and provide advertisers unique capabilities to engage consumers.

From your first day at Roku, you’ll make a valuable — and valued — contribution. We’re a fast-growing public company where no one is a bystander. We offer you the opportunity to delight millions of TV streamers around the world while gaining meaningful experience across a variety of disciplines.

 

About the role 

With tens of million players sold across many countries, thousands of streaming channels and billions of hours watched over the platform, building scalable, highly available, fault-tolerant, big data platform is critical for our success. 

Our Data Engineering team’s mission is to build a world-class big data platform to bring value out of data for us, for our partners, and for our customers. Our goal is to democratize data, support Roku’s exploding ad business, provide reporting and analytics self-service tools, and fuel existing and new business critical initiatives.  

What you’ll be doing 

  • Scratch-build a highly scalable, available, fault-tolerant data processing systems using AWS technologies, HDFS, YARN, Map-Reduce, Hive, Kafka, Spark, and other big data technologies. These systems should handle batch and real-time data processing over 10s of terabytes of data ingested every day and petabyte-sized data warehouse. 
  • Low level systems debugging, performance measurement & optimization on large production clusters. 
  • Participate in architecture discussions, influence product roadmap, and take ownership and responsibility over new projects. 
  • Maintain and support existing platforms and evolve to newer technology stacks and architectures. 

We’re excited if you have/are 

  • Are currently pursuing a Bachelors or Masters degree in Computer Science, Data Enginering, or a related field. 
  • Graduating in December 2023 or later 
  • Have experience with SQL. 
  • Experience with AWS is a plus
  • Are proficient in at least one object-oriented language is desired, Java, Python or Scala Preferred. 

The Roku Culture

Roku is a great place for people who want to work in a fast-paced environment where everyone is focused on the company's success rather than their own. We try to surround ourselves with people who are great at their jobs, who are easy to work with, and who keep their egos in check. We appreciate a sense of humor. We believe a fewer number of very talented folks can do more for less cost than a larger number of less talented teams. We’re independent thinkers with big ideas who act boldly, move fast and accomplish extraordinary things through collaboration and trust. In short, at Roku you'll be part of a company that's changing how the world watches TV. 

We have a unique culture that we are proud of. We think of ourselves primarily as problem-solvers, which itself is a two-part idea. We come up with the solution, but the solution isn't real until it is built and delivered to the customer. That penchant for action gives us a pragmatic approach to innovation, one that has served us well since 2002. 

To learn more about Roku, our global footprint, and how we've grown, visit https://www.weareroku.com/factsheet.

Thanks for considering a role at Roku. Take a moment to complete the form below. We ask that you remove any photos from your resume or CV before submitting your application. 

Additionally, providing false, misleading, or inaccurate information or responses will void this application and disqualify you from consideration. If employed by Roku, it will result in the immediate termination of employment regardless of when Roku discovers misleading or inaccurate information.

 

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