Data Engineer, Data Infrastructure

Spotify logo Spotify

📍 Toronto

Scraped: Today

This role is based in Toronto, with flexibility to work from home.

What you'll do:

  • Build large-scale batch and real-time data processing tools on Google Cloud Platform.
  • Collaborate with product owners and engineers to improve the data processing ecosystem.
  • Expand the data processing product and technology offering for Spotify.
  • Support the data practitioner community with best practices and standards.

Who you are:

  • 2+ years of professional data engineering experience.
  • Strong coding skills in a modern programming language, preferably Python.
  • Experience with distributed systems and high-volume data.
  • Familiarity with JVM-based data processing frameworks like Spark or Flink.
  • Bachelor’s degree in Computer Science or related fields is a plus.

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