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Job Description & How to Apply Below
Join Spotify in Toronto as a Data Engineer to improve data workflows and work on cutting-edge infrastructure projects. Design and enhance the data processing capabilities used by millions of users globally.
You will play a crucial role in the Platform team's mission by building tools on Google Cloud Platform that enhance developer experiences. Collaborating with cross-functional teams, your efforts will support data pipelines for Spotify’s most popular features, ensuring the infrastructure scales with business needs.
Key Responsibilities:
• Develop tools for large-scale real-time data processing
• Work with product owners to deliver impactful features
• Help evolve Spotify's data processing standards
• Promote best practices within the data ecosystem
• Enable AI agents to leverage data effectively
Requirements:
• 3+ years of experience in data engineering
• Proven skills in data pipeline creation and programming
• Solid understanding of data structures and systems design
• Experience handling heterogeneous datasets in cloud setups
• Proficient in Python or JVM-based frameworks like Spark
Be part of Spotify's innovative journey, creating scalable data solutions.
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