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BACKGROUND
Spotify Analytics tackles complex, data-intensive research questions, builds data platforms and apps, and cultivates Spotify's data-first culture. You will have a hand in building the world's leading analytics organization.RESPONSIBILITIES
As a data engineer, you will partner with data scientists, visualization designers, and other developers to mine billions of listening hours from millions of users for insights and solutions to a wide range of product, content, marketing, and business problems. You will invent and employ innovative practices and tools to ingest, move, process, store, and expose consumer-scale datasets and will play a key role in improving the quality of our data and large scale data infrastructure. You will work with high-level data processing frameworks like Scalding, Spark, or Crunch. Above all, your work will impact the way the world experiences music.REQUIREMENTS
BA, BS, MS, Ph.D.PREFERENCES
Computer Science, Artificial Intelligence, Computational Biology, Data Engineering, and related fieldsTERMS
Interviews conducted in NYC office, we coordinate travel for candidates to interview and provide relocation packages for candidates given an offerLOCALE
New York City, Boston, San Francisco, London, StockholmCOMPENSATION
Commensurate to experienceHOW TO APPLY
Please email resume/CV to Krystan[at]Spotify.com with subject 'Bioinformatics: application for Data Engineer'DEADLINE
2/26/2016
Discussion forums: Opportunity: Data Engineer, Analytics @ Spotify Analytics -- New York, London, San Francisco, Boston, and Stockholm
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