Big Data Jobs in Montréal
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Search Results - Big Data Jobs in Montréal
Soho Square Solutions-Montréal
As Big Data Cloud Expert, you are part of a global central team distributed between Montréal and Paris, with multiple responsibilities related to our Data Lake platform on Microsoft Azure cloud. Member of the team, you are the main point of contact...
beBeeData-Montréal
of data architecture, cloud computing, and big data technologies.
Responsibilities:
• Design and implement data platforms to meet business requirements
• Evaluate and recommend new technologies to improve data platform performance and security...
YULCOM Technologies-Montréal
Big Data, d'hébergement cloud et de gestion de projets informatiques.
Nous alignons la créativité, la technologie et l'objectif commercial avec une méthodologie éprouvée pour assurer le succès des projets numériques de nos clients au Canada, en Europe...
appcast.io -
beBeeData-Montréal
PostgreSQL, Sybase, DB2).
• Proficiency in data modeling tools like ERwin, Power Designer, or equivalent tools.
• Proficiency in AI-enabled toolsets for data management and analytics.
• Proficiency in big data technologies and cloud services (AWS, Azure...
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...
beBeeDéveloppement-Montréal
Modélisation de données structurées et non structurées, Expérience avec de gros volumes de données (Big Data), Expérience avec le streaming en temps réel
Bénéfices:
• Travailler comme consultant expert en architecture de solutions Big Data, ainsi qu'en outils...
BURGEON IT SERVICES-Montréal
practices, write unit tests, and contribute to automated testing frameworks
• Participate in design discussions and code reviews, ensuring code quality and system scalability
• Stay current with emerging tools and technologies in the big data ecosystem
Must...
KTek Resourcing-Montréal
Elastic Search.
Good experience in architecting solutions across multiple cloud platforms (Preferably Azure).
Expertise in database technologies: Oracle, SQL Server, MySQL, PostgreSQL, MongoDB, Cassandra, DynamoDB, IBM DB2, IMS.
Proficiency on big data...
Raas Infotek-Canada
Search
JD:
Looking for skilled Solution Architect with deep expertise with expertise on Azure AI or BA Insights or Elastic Search and having good expertise on various database technologies (Network, Hierarchical, Relational, NoSQL), Big data ecosystems...
Raas Infotek-Beloeil, 32 km from Montréal
expertise with expertise on Azure AI or BA Insights or Elastic Search
Having good expertise on various database technologies (Network, Hierarchical, Relational, NoSQL), Big data ecosystems (Hadoop, Spark, Kafka, etc.), and cloud platforms (AWS, Azure, GCP...
HCLTech-Montréal
on the Databricks platform.
Proficiency in programming languages such as Python, Scala, or SQL.
Strong understanding of distributed computing principles and experience with big data technologies such as Apache Spark.
Experience with cloud platforms such as AWS...
Raas Infotek-Canada
expertise with expertise on Azure AI or BA Insights or Elastic Search
Having good expertise on various database technologies (Network, Hierarchical, Relational, NoSQL), Big data ecosystems (Hadoop, Spark, Kafka, etc.), and cloud platforms (AWS, Azure, GCP...
Raas Infotek-Saint-Hyacinthe, 53 km from Montréal
JD:
Looking for skilled Solution Architect with deep expertise with expertise on Azure AI or BA Insights or Elastic Search and having good expertise on various database technologies (Network, Hierarchical, Relational, NoSQL), Big data ecosystems...
Capgemini Engineering-Montréal
environment. Your role involves solving complex technical challenges and enhancing a Big Data processing platform that supports software used by hundreds of millions of users.
You Role:
• Collaborate with the Team Lead to gather tasks and prepare functional...
iVedha Inc.-Montréal
to-Have: Experience with Apache airflow, snowflake , and big data pipelines.
Familiarity with SRE maturity models and service level objectives (SLOs, SLIs, SLAs).
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