Opens LinkedIn
- Employment type
- Contract
- Experience level
- Senior · 5+ years
- Posting language
- English
- Working hours
- 40 hours per week
- Seniority
- Mid-Senior level
- Application method
- Direct apply is available
Job summary
The Databricks Engineer will be responsible for developing and maintaining ETL pipelines within the Databricks environment. They will also implement machine learning solutions and manage data governance using Unity Catalog.
Job details
Job Opening – Databricks Engineer – Location - Vancouver Canada We are currently looking for an experienced " Databricks Engineer " Consultant to join our team on a contract basis. Required Skills Machine learning Unity Catalog in Databricks ETL pipelines in Databricks Python and Spark 📩 Interested candidates, please share your profile – Dgourav@webmsi.com
What you’ll do
The Databricks Engineer will be responsible for developing and maintaining ETL pipelines within the Databricks environment. They will also implement machine learning solutions and manage data governance using Unity Catalog.
Requirements
Candidates must have professional experience with Databricks, Python, and Spark. Proficiency in building ETL pipelines and utilizing Unity Catalog for data management is required.
Listed skills
- Machine learning · Preferred
- Python · Preferred
Other relevant skills
Identified from the job description. Confirm important requirements above.
- Databricks
- Machine learning
- Unity Catalog
- ETL pipelines
- Python
- Spark
Job areas
- Technology
- Data & Analytics
- Software
- Engineering
- Consulting
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