Big Data Analyst Jobs in Montréal
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Search Results - Big Data Analyst Jobs in Montréal
Compunnel, Inc.-Montréal
We are seeking a Kafka Data Engineer to join the team responsible for the development and maintenance of the firm's Trade Capture data stores, which handle large volumes of transactional big data for real-time and archival processing.
This role...
appcast.io -
myGwork-Montréal
will be larger than usual for a data scientist. You will be responsible early on for the development of telemetry, data, analytics and data science, working closely with engineers, product managers and stakeholders to help them make decisions on the game's...
Streamforge-Montréal
and big vision. We’re seeking an experienced Senior Full Stack Engineer ready to lead technical initiatives, influence key architectural decisions, and drive our SaaS platform to the next level.
Why Join Us?
• Cutting-Edge AI & Big Data: Solve...
Fluid - Solutions de Talents-Montréal
scikit-learn).
• Expérience confirmée avec les outils de gestion des données (SQL, NoSQL, plateformes Big Data).
• Excellentes aptitudes en communication, vulgarisation et présentation des résultats techniques.
• Fortes compétences analytiques...
Wissen Technology-Montréal
in some of the biggest companies in the world.
Wissen Technology offers an array of services including Application Development, Artificial Intelligence & Machine Learning, Big Data & Analytics, Visualization & Business Intelligence...
Montréal
or equivalents.
• Solid understanding of Data Warehousing concepts (data modeling, transformations).
• Experience developing and supporting data ingestion frameworks using SQL, Spark, Python, Databricks, Snowpipe, etc.
• Familiarity with big data technologies...
capgemini.com -
Compunnel Inc.-Montréal
Cloud Architecture.
• Design scalable data models that facilitate efficient data procurement, storage, processing, and analysis.
2. Data Modeling:
• Create logical and physical data models, that reflect business data consumption needs.
• Ensure data...
Constructor-Montréal
and well-versed in exploratory data analysis with Python (pandas & NumPy, data visualization libraries). Nice to have: Practical familiarity with the big data stack (Spark, Presto/Athena, Hive).
• You are adept at fast prototyping and providing analytical...
workable.com -
Compunnel Inc.-Montréal
Data on Snowflake Cloud Architecture.
Design scalable data models that facilitate efficient data procurement, storage, processing, and analysis.
Data Modeling:
Create logical and physical data models, that reflect business data consumption needs...
Amazon-Montréal
and innovative Startups in Canada?
Amazon Web Services (AWS) offers a complete set of cloud services that enable all companies, from startups to enterprises, to run virtually everything in the cloud, including mobile applications, big data analytics, AI/ML...
amazon.jobs -
BRP-Montréal
requirements
• Experience in data profiling
• Experience in working within an agile team to build big data / analytics solutions
• Strong interpersonal relations, motivated and loves to work on multiple challenging projects
• Strong communication skills...
Amazon-Montréal
and innovative Startups in Canada?
Amazon Web Services (AWS) offers a complete set of cloud services that enable all companies, from startups to enterprises, to run virtually everything in the cloud, including mobile applications, big data analytics, AI/ML...
amazon.jobs -
Fluid - Solutions de Talents-Montréal
scikit-learn).
• Expérience confirmée avec les outils de gestion des données (SQL, NoSQL, plateformes Big Data).
• Excellentes aptitudes en communication, vulgarisation et présentation des résultats techniques.
• Fortes compétences analytiques...
KPI Digital Solutions-Montréal
better, too.
At KPI, our vision is to advance the world through the power of people and technology.
Established over 20 years ago in Quebec, KPI is uniquely positioned as a Canadian leader across the Data, Analytics & AI ecosystem. Every day our team...
appcast.io -
Institut de Tourisme et d'Hôtellerie du Québec-Montréal
axées sur les données (p. ex. : l’utilisation des mégadonnées (big data), de l’intelligence artificielle, de l’analyse prédictive), le comportement du consommateur, le neuromarketing, et plus, appliqués au THR.
Vous êtes une personne dynamique...
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