Big Data Jobs in Montréal
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Search Results - Big Data Jobs in Montréal
C-Serv-Montréal
big data, optimising workflows, and improving system performance
Benefits
• Health Care Plan (Medical, Dental & Vision)
• Life Insurance (Basic, Voluntary & AD&D)
• Paid Time Off (Vacation, Sick & Public Holidays)
• Family Leave (Maternity, Paternity...
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workable.com -
Mindtris-Montréal
smooth functioning of the Cloudera Data Platform. Candidates should hold a related degree, possess strong analytical and communication skills, and have experience with Big Data technologies. This position offers an opportunity to engage in key...
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Airlab Inc.-Montréal
entrepreneurial team working on pioneering applications that utilize artificial intelligence and Big Data. Your strong mathematical background and eagerness to learn will be critical as you develop optimized programs and robust prototypes.
This role offers...
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Pathlion-Montréal
candidates will have strong analytical skills, excellent communication abilities, and a solid understanding of big data technologies. Responsibilities include managing user access and optimizing data warehouses for efficient analytics.
The position offers...
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Menlo Ventures-Montréal
In-depth knowledge of big data, data science, and cloud platforms
• Proficiency in programming with Python, R, Scala, or Java
• Ability to spearhead data-driven change initiatives
• Certifications in Databricks or relevant cloud platforms advantageous...
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appcast.io -
TES The Employment Solution-Montréal
avec PySpark, Databricks et l’écosystème AWS.
• Big Data : Bonne expérience avec les principales technologies et frameworks Big Data, incluant Hadoop, HIVE, MapReduce, Spark, Cassandra, Kafka et Elasticsearch.
• Bases de données : Expérience avec les...
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Blumberg Capital Company-Montréal
a wide variety of sources using SQL and GCP technologies.
What we're looking for:
• Bachelor's Degree in Computer Science, Data Science or related field
• Deep experience working with GCP big data services: BigQuery, DataFlow, PubSub, DataForm, etc...
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appcast.io -
Airlab Inc.-Montréal
in mathematics, and a desire to keep on learning are key qualities for this position.
You will work on future technologies, among them artificial intelligence, language recognition, Big Data processing, applied to specific fields as user acquisition for mobile...
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Talan Group-Montréal
milliard d’€ de CA à horizon 2025. Le Groupe met l’innovation au cœur de son développement et intervient dans les domaines liés aux mutations technologiques des grands groupes, comme le Big Data, l’IoT, la Blockchain et l’Intelligence Artificielle.
En...
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appcast.io -
Airlab Inc.-Montréal
of innovative application.
Open mindedness, a strong interest in mathematics, and a desire to keep on learning are key qualities for this position.
You will work on future technologies, among them artificial intelligence, language recognition, Big Data...
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Mindtris-Montréal
technical documentations, user guides, and training materials to support users in using the CDP platform.
• Work with Big Data and Business Intelligence technologies.
• Understanding of CDP Public Cloud Base and Data Services from architecture level...
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Flare-Montréal
des défis tout en ayant un impact tangible sur la croissance de l'entreprise.
Key Responsibilities:
• Concevoir des systèmes hautement complexes pour applications Big Data
• Collaborer avec des équipes en machine learning pour l'IA
• Développer des...
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appcast.io -
Caylent-Montréal
Champion data governance and operational efficiencies
Requirements:
• At least 10 years of experience in data architecture
• 4+ years in the AWS ecosystem
• Knowledge of big data, MLOps, and NoSQL technologies
• Familiarity with coding languages...
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Leadingtalent-Montréal
to provide additional services.
The team works closely with the Big Data team in charge of the DataLake offer on Azure.
You’ll participate to the design of the evolution of the platform, implementation and production support as well. You’ll also provide...
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appcast.io -
Agoda-Montréal
applications in production settings. Insightful experience with big data technologies like Hadoop, real-time processing frameworks (e.g., Apache Spark), and advanced knowledge of SQL and data architecture
Thinks in systems: their edge cases, failure modes...
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