Big Data Jobs in British Columbia
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Search Results - Big Data Jobs in British Columbia
Amazon-Vancouver
Big Data Engineer, Pricing and Promotions Science Data and Insights
Are you passionate about developing the next generation of data infrastructure capable of handling complex, mission-critical data pipelines and analytics workloads? Do you want...
appcast.io -
Alquemy Search & Consulting-Vancouver
Our client is looking to hire a Data Scientist who is passionate about big data and AI technologies. You’ll work closely with engineering, analytics, design, strategy, and marketing teams to develop data-driven platforms and products that address...
DataVisor Inc.-Vancouver
solutions. DataVisor is recognized as an industry leader and has been adopted by many Fortune 500 companies across the globe.
Our award-winning software platform is powered by a team of world-class experts in big data, machine learning, security...
appcast.io -
Salt-Vancouver
revenue growth, and brand engagement with niche digital audiences. Leveraging proprietary AI, machine learning, and big data technologies, it operates the world’s largest multi-vertical video platform, generating tens of billions of views.
The growing...
Autodesk, Inc.-Vancouver
for Platform Infrastructure, you'll help us tackle tough problems and improve our platform's reliability, resiliency, and scalability. If you enjoy developing high quality and resilient systems and want to make a big impact with data at Autodesk, we want...
appcast.io -
Brainhunter Systems Ltd-Victoria
to improve their Big Data systems. My client is a highly successful publisher of mobile and social games and relies heavily on their BI (business intelligence) stack to optimize the player experience and their business. Design, build and improve ETL (extract...
Amazon-Vancouver
engineering best practices
• Stay up-to-date with the latest big data technologies and architectural patterns, and drive the adoption of innovative solutions
A day in the life
You will:
• Identify key areas of concerns/limitations with current architecture...
amazon.jobs -
Retailogists-Kitchener
Senior (5+ years)
Retailogists is a fast-growing startup at the intersection of retail consulting and technology. We combine deep retail domain expertise with technical excellence in big data, full-stack engineering, and AI/ML. Our clients range...
Brainhunter Systems Ltd-Victoria
BI Data Engineer to improve their Big Data systems. My client is a highly successful publisher of mobile and social games and relies heavily on their BI (business intelligence) stack to optimize the player experience and their business.
Key...
Alquemy Search & Consulting-Vancouver
Our client is looking to hire a Data Scientist who is passionate about big data and AI technologies. You’ll work closely with engineering, analytics, design, strategy, and marketing teams to develop data-driven platforms and products that address...
Stacktics-Toronto
The Google Analytics Specialist will play a key role at Stacktics Inc., where we design, create, deploy, maintain and grow industry-leading Cloud Infrastructure, Big Data Analytics and Cloud For Marketing products, solutions and services.
The Google...
Salt-Vancouver
revenue growth, and brand engagement with niche digital audiences. Leveraging proprietary AI, machine learning, and big data technologies, it operates the world’s largest multi-vertical video platform, generating tens of billions of views.The growing...
Salt-Vancouver
revenue growth, and brand engagement with niche digital audiences. Leveraging proprietary AI, machine learning, and big data technologies, it operates the world’s largest multi-vertical video platform, generating tens of billions of views.
The growing...
Salt-Vancouver
revenue growth, and brand engagement with niche digital audiences. Leveraging proprietary AI, machine learning, and big data technologies, it operates the world’s largest multi-vertical video platform, generating tens of billions of views.The growing...
Keyrus-Montréal
Management, Data Manipulation, Big Data Engineering).
• 7+ years of working experience.
• Experience developing and leading implementations with some of the following tools: Databricks, DBT, Snowflake, AWS, GCP, Azure, Tableau, Qlik, Talend, Dataiku, SAS, SAP...
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