Data Engineer – Free Product

Spotify
Spotify

Job Overview

What You’ll Do

  • Ingest and aggregate data from both internal and external data sources to build our world class datasets.
  • Build large-scale batch and real-time data pipelines with data processing frameworks like Scio, Storm, or Spark on the Google Cloud Platform.
  • Use best practices in continuous integration and delivery.
  • Help drive optimization, testing, and tooling to improve data quality.
  • Collaborate with other engineers, ML experts, and stakeholders, taking learning and leadership opportunities that will arise every single day.
  • Work in multi-functional agile teams to continuously experiment, iterate, and deliver on new product objectives.
  • Work from our offices in New York, with some travel to other Spotify office locations. We offer a relocation package if you do not live in the area.
  • Who You Are

  • You’ve worked with high-volume, heterogeneous data, preferably with distributed systems such as Hadoop, BigTable, and Cassandra.
  • You have experience with one or more higher-level JVM-based data processing frameworks such as Beam, Dataflow, Crunch, Scalding, Storm, Spark, or something we didn’t list- but not just Pig/Hive/BigQuery/other SQL-like abstractions
  • You know how to write distributed services in Java or Scala or Python
  • You are knowledgeable about data modeling, data access, and data storage techniques.
  • You understand the value of collaboration within teams and can build relationships with a diverse set of stakeholders.
  • Experience with data ingestion via API.
  • Experience with Google Cloud Platform is a plus.
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