Related skills
azure aws python gcp scala📋 Description
- Work on customer technical projects including reference architectures.
- Scope professional services work with engagement managers and customer input.
- Guide strategic customers through end-to-end big data and AI deployments.
- Consult on architecture and design; bootstrap or implement projects to drive adoption of Databricks.
- Provide escalated support for customer operational issues.
- Travel to customers up to 10% of the time.
🎯 Requirements
- Extensive experience in data engineering, data platforms & analytics.
- Comfortable writing code in Python or Scala.
- Cloud ecosystems (AWS, Azure, 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
- Region-specific benefits; details here.
- Professional development and Databricks Certification opportunities.
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