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1 day ago
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Related skills

bigquery docker etl sql python

📋 Description

  • Design and build data pipelines/flows for ML use cases
  • Implement data versioning practices
  • Deploy and manage flows in orchestration tools
  • Improve and maintain CI/CD pipelines
  • Manage Python dependencies (Poetry, uv)
  • Deploy data scientists' scripts and models from notebooks to production

🎯 Requirements

  • 3–5 years of experience as a Data Engineer
  • Strong proficiency in Python
  • Experience with distributed systems for big data processing (Dask, Spark)
  • Experience building ETL pipelines
  • Experience building reliable, maintainable data pipelines
  • Hands-on experience with GCP core data services (Cloud Storage, BigQuery, Cloud Build, GKE)

🎁 Benefits

  • Flexible working environment
  • Volunteer time off
  • LinkedIn Learning
  • Employee-Assistance-Program (EAP)
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