Data Engineer for Recommendation Systems

10 hours ago


Stockholm, Stockholm, Sweden TN Sweden Full time
Job Overview:

TN Sweden is a leading company in the field of music streaming, and we are currently looking for a talented Data Engineer to join our Personalization team. Our team makes deciding what to play next on Spotify easier and more enjoyable for every listener.

We seek to understand the world of music and podcasts better than anyone else so that we can make great recommendations to every individual and keep the world listening.

This is an exciting opportunity to help develop and shape the way Spotify recommendations work.

Key Responsibilities:

You will build large-scale data pipelines with data processing frameworks like Scio, BigQuery, Google Cloud Platform, and Apache Beam.

You will develop, deploy, and operate Java services that impact millions of users.

You will work on machine learning projects powering the experience that suits each user individually.

You will collaborate with other engineers, product managers, and stakeholders.

You will deliver scalable, testable, maintainable, and high-quality code.

Required Skills:

You should have a strong understanding of Scala and be familiar with one or more higher-level JVM-based data processing frameworks.

You should have experience deploying and operating Kubernetes-based Java applications along with strong knowledge of DevOps best practices.

You should have worked with Docker as well as Flyte, Luigi, Airflow, or similar tools.

You should have familiarity and knowledge of machine learning principles.

You should understand quality and know what it means to ship high-quality code.



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