Senior Databricks Engineer- fully remote
Thermo Fisher ScientificFull Time
Senior (5 to 8 years)
Key technologies and capabilities for this role
Common questions about this position
This role requires 3 days per week at the local Mississauga office or a client site in the Greater Toronto Area, with preferred hiring locations in Toronto and Mississauga.
The role requires deep hands-on expertise in Databricks and Azure data services, experience architecting scalable data pipelines using Azure Databricks workflows and Spark technologies, and designing lakehouse architecture with Delta Lake tables following Bronze, Silver, and Gold layers.
This information is not specified in the job description.
The culture is highly collaborative, inclusive, and values diversity, with opportunities to work in a growing network of technology and data experts solving complex challenges, and nurturing talent in a boundaryless career environment.
A strong candidate is an experienced, hands-on Data & AI Engineer with deep expertise in Databricks and Azure, skilled in designing scalable pipelines, lakehouse architecture, and partnering with data scientists and analysts.
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