Related skills
python distributed systems spark data pipelines google cloud platform📋 Description
- Build batch and real-time data processing on Google Cloud Platform; standardize workflows
- Collaborate with product teams and engineers to deliver data features
- Expand Spotify’s data platform to meet growing business needs
- Improve data practitioner experience by driving best practices and tooling
- Contribute to a unified data platform, incl. a data monorepo
- Support systems enabling AI agents to interact with data infra
🎯 Requirements
- 3+ years of data engineering or related field experience
- Experience building and maintaining data pipelines with modern languages
- Strong design, data structures, and scalable architectures
- Work with high-volume, heterogeneous datasets in distributed cloud environments
- Experience with Python or JVM data processing frameworks (Spark, Flink, Dataflow)
- Focus on developer experience; build tools to help others move faster
- Apply CD, testing, and maintainable code practices
- Curious about AI and agent-based tech to improve data workflows
🎁 Benefits
- Extended health and dental coverage
- Retirement savings plans
- Monthly meal allowance
- 23 paid days off
- 13 paid flexible holidays
- Other benefits per Canadian employment standards
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