Related skills
sql python databricks data modeling airflow📋 Description
- Build large, scalable analytics pipelines using modern data tech.
- Define company data assets and data models.
- Design, build, and launch data models and visualizations.
- Collaborate with engineers, product managers, and data scientists.
- Develop long-term Data Platform architecture with scalable design.
- Optimize pipelines and dashboards for easier development.
🎯 Requirements
- 5+ years of Spark, Python, Java, C++, or Scala development.
- 5+ years of SQL experience.
- 5+ years of schema design, dimensional modeling, and medallion architectures.
- Databricks platform and data lake architectures experience.
- BS degree in Computer Science or related field (or equivalent).
- Airflow or similar orchestration frameworks experience.
🎁 Benefits
- On-call rotations are common for Dropbox services.
- Engineering Career Framework provides growth paths.
- Public resources on engineering career development.
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