Big Data Jobs in Montréal
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Search Results - Big Data Jobs in Montréal
agileDSS inc.Montréalappcast.io
agileDSS, firme de service-conseil spécialisée dans la donnée et l’analytique, recherche un Développeur Big Data Snowflake pour Montréal ou Québec. Vous concevrez et déploierez des solutions de données en collaboration avec les équipes, en...
Intact FinancialMontréal
What you bring to the table:
• 5+ years of experience in data / engineering.
• Strong with big data and cloud: Spark/PySpark, Databricks (Unity Catalog, Delta Lake), and AWS (S3, IAM, ECS/EKS, ALB).
• Comfortable with streaming systems: Kafka, real...
agileDSS inc.Montréalappcast.io
accompagner l'un de nos clients ou bâtir l'agileDSS de demain, nous recherchons continuellement des personnes ambitieuses, ayant à la fois la fibre entrepreneuriale et la passion de la data pour nous rejoindre.
Aujourd'hui, nous recherchons un Développeur Big...
MindriftOttawa · Remote
pipeline (data ingestion → cleaning → EDA → modeling → validation → deployment considerations)
• Incorporate big data processing scenarios requiring scalable computational approaches
• Verify solutions using Python with standard data science libraries...
Novatek InternationalMontréalappcast.io
diversity, fosters innovations constantly and rewards performance in an industry that is on the leading edge of big data management.
• Several positions are currently open at the company headquarters in Montreal, Canada.
• Competitive compensation including...
Delta ControlsSurrey · Remote
massively scalable, big-data architecture, with a strong focus on building automation. Here are some of the Delta perks you'll receive from day 1!
• Employee & safety centric culture with the possibility of remote work
• Flexible hours and scheduling...
Yeah! GlobalMontréalappcast.io
or a related field.
• Experience in applying AI techniques in industries such as healthcare, finance, or e-commerce.
• Familiarity with big data platforms like Hadoop, Spark, and AWS.
• Published research in reputable AI or machine learning conferences...
MindriftVancouver · Remote
pipeline (data ingestion → cleaning → EDA → modeling → validation → deployment considerations)
• Incorporate big data processing scenarios requiring scalable computational approaches
• Verify solutions using Python with standard data science libraries...
Compunnel Inc.Montréalappcast.io
languages (e.g., Kotlin, Scala).
• Experience with serverless architectures.
• Experience with big data technologies (e.g., Hadoop, Spark).
Certifications
• Not specifically required, but relevant Java, Cloud, or DevOps certifications are considered a plus...
Montréalcapgemini.com
and Unix in production environments.
• Experience with cloud platforms such as Azure, AWS, GCP, or other major cloud providers.
• Exposure to big data technologies such as Apache Spark and Snowflake.
• Experience with Infrastructure as Code (IaC) tools...
AmazonMontréalamazon.jobs
Automotive, Financial Services, Energy, Big Data, and more gain the best value and service from AWS? At AWS Enterprise Support we’re looking for a Technical Account Manager (TAM) to support our customers’ creative and transformative spirit of innovation...
Compunnel Inc.Montréalappcast.io
languages (e.g., Kotlin, Scala).
• Experience with serverless architectures.
• Experience with big data technologies (e.g., Hadoop, Spark).
Certifications
• Not specifically required, but relevant Java, Cloud, or DevOps certifications are considered...
Canadian National Inc.Montréalappcast.io
12 years of experience with applications, data, and cloud
• Minimum 5 years of experience as an architect with technology architecture covering big data, data engineering, data analytics, systems integration, and distributed computing
• Minimum 3...
FlareMontréalappcast.io
to support our big data applications
• Leverage cloud, database and AI infrastructure to solve such large scale problems
• Conduct feasibility studies for upgraded software systems
• Maintain our product’s existing data systems while designing...
Gravity ConseilMontréalappcast.io
Très bonne connaissance :
• des concepts ETL
• de l'architecture médaillon
• des processus d'ingestion et exposition de données analytiques cloud
• Connaissance approfondie de Spark, du big data et des traitements distribués
• Très bonne connaissance...
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