Big Data Scientist Jobs in Ontario
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Search Results - Big Data Scientist Jobs in Ontario
Definity Financial Corporation-Toronto
such as databases and large-scale processing systems. They will work closely with data scientists and analysts to understand the organization's data needs and help design solutions.
Qualifications
Experience with big data technologies like Hadoop, Spark...
Geotab Inc.-Oakville
Scientist who will utilize strong problem-solving skills with statistical analysis in order to align data products with Geotab’s organizational goals.
What you'll do:
The Lead Data Scientist leads and contributes to medium to large projects; generally...
appcast.io -
Definity Financial Corporation-Toronto
such as databases and large-scale processing systems. They will work closely with data scientists and analysts to understand the organization's data needs and help design solutions.
Qualifications
Experience with big data technologies like Hadoop, Spark...
Teranet Inc.-Toronto
Data Scientist
Who We Are
Teranet is Canada’s leader in the delivery and transformation of statutory registry services with extensive expertise in land and commercial registries. We also market insightful property and data solutions, as well...
Definity Financial Corporation-Toronto
such as databases and large-scale processing systems. They will work closely with data scientists and analysts to understand the organization's data needs and help design solutions.
Qualifications
Experience with big data technologies like Hadoop, Spark...
Photon-Mississauga
Responsibilities:
• Architect and design large-scale, distributed big data solutions using Java and big data technologies to handle high-volume data processing and analytics.
• Develop, test, and deploy data processing applications using Apache...
OnX-St. Catharines
to complex data-related challenges involving large datasets.
Ensure data quality through validation processes and governance frameworks.
Collaborate with data scientists to enable machine learning workflows.
Requirements
Required :
5. 8 Years of Industry...
Definity Financial Corporation-Toronto
such as databases and large-scale processing systems. They will work closely with data scientists and analysts to understand the organization's data needs and help design solutions.
Qualifications
• Experience with big data technologies like Hadoop, Spark...
OnX-Newmarket
to complex data-related challenges involving large datasets.
Ensure data quality through validation processes and governance frameworks.
Collaborate with data scientists to enable machine learning workflows.
Requirements
Required :
5. 8 Years of Industry...
Photon-London
Responsibilities:
• Architect and design large-scale, distributed big data solutions using Java and big data technologies to handle high-volume data processing and analytics.
• Develop, test, and deploy data processing applications using Apache...
Definity Financial Corporation-Toronto
such as databases and large-scale processing systems. They will work closely with data scientists and analysts to understand the organization's data needs and help design solutions.
Qualifications
Experience with big data technologies like Hadoop, Spark...
Photon-Toronto
Responsibilities:
• Architect and design large-scale, distributed big data solutions using Java and big data technologies to handle high-volume data processing and analytics.
• Develop, test, and deploy data processing applications using Apache...
Definity Financial Corporation-Toronto
such as databases and large-scale processing systems. They will work closely with data scientists and analysts to understand the organization's data needs and help design solutions.
Qualifications
• Experience with big data technologies like Hadoop, Spark...
Akkodis-Toronto
production-ready, testable code with best practices, including error handling.
• Stay updated with the latest data engineering technologies and mentor junior engineers.
• Collaborate with data scientists, analysts, and engineering teams for seamless...
Rock Central LLC-Windsor
and enable data capabilities across the company
• Design integrations with other data sources
• Research, analyze, and promote data standards to be used across the company
• Set and lead standards discussions among big data engineers, data scientists...
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