Related skills
aws python gcp databricks scala📋 Description
- Design and build reference architectures; productionize use cases.
- Scope professional services with engagement managers and customers.
- Guide customers on end-to-end big data and AI deployments.
- Consult on architecture and design; enable Databricks adoption.
- Provide escalated support for customer operational issues.
- Collaborate with Databricks teams to deliver engagements and feedback.
🎯 Requirements
- 6+ years in data engineering, data platforms and analytics
- Comfortable coding in Python or Scala
- Cloud experience across AWS, Azure, and/or GCP with expertise in at least one
- Deep experience with Apache Spark and Spark runtime internals
- Familiar with CI/CD for production deployments
- Working knowledge of MLOps
🎁 Benefits
- Comprehensive benefits and region-specific details
- Opportunities for career growth and training
- Global presence with offices around the world
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