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Databricks Data Engineer or ML Specialist certification (un atout). Les plateformes AI/ML-Ops (ex: ML-flow, Airflow, Triton). Databricks Data Engineer or ML Specialist certification (un atout.
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Exceptional understanding of network security, cloud security, application security, and data security. · Security Architecture Design: Lead the design of robust security architectures across various IT domains (identity, data, applications, infrastructure, network, cyber response), ensuring a comprehensive security posture.
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Experience with data tools, Snowflake, Databricks, Collibra. Job Title: Data Steward. Collaborate with stakeholders to define and document data and its requirements specific to business needs (e.g. definition, business rules, security & service levels, quality, lineage, data flow, conceptual model.
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Google Cloud Platform (BigQuery, Cloud Storage, Data Studio, Analytics, Tag Manager) ; Back-end : Microsoft BI suite (Azure Synapse, SQL Server, Data Factory), Google BigQuery ; Google Cloud Platform (BigQuery, Cloud Storage, Data Studio, Analytics, Tag Manager.
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Experience with airflow, Databricks, Data lake, Pyspark. Familiarity testing and interacting with Data Stores (both relational and non-relational) SQL, MongoDB, Postgress. Experience working with large datasets and complex data environments.
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Choisissez les technologies appropriées (par exemple, Azure Data Factory, Spark) pour extraire, transformer et charger les données provenant de sources variées (bases de données relationnelles et non relationnelles, applications métiers, API) vers le Data Lake et l'entrepôt de données.
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In addition, having technical and functional experience with applications like (but not limited to) SWIFT, Cash Pooling, Bloomberg, Data warehousing, Regulatory reporting and other financial/business applications will be favored.
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To work with global experts on key themes such as agriculture, mining, artificial intelligence, energy and renewable energy, and sustainable development. Be part of experts working on dynamic themes such as agriculture, mining, artificial intelligence, energy, sustainable development, as well as innovation and entrepreneurship.
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ALTEN Canada also houses a solutions center, the 'Montreal Delivery Center (MDC)', which provides managed services in application development, Data, AI & Advanced Analytics, and Cyber Security for sectors including banking, telecoms, and various industries.
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Forte expérience dans la construction de pipelines big data pour l'ETL en se concentrant sur les données de séries temporelles en utilisant : PySpark, Python (natif), Azure Data factory, Databricks sur Azure.
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Develop and execute a comprehensive data engineering strategy with a focus on Snowflake. Proven experience in data engineering leadership roles, with a strong focus on Snowflake. In this leadership role, you will be responsible for overseeing our data engineering strategy, ensuring the seamless integration and utilization of Snowflake, and guiding our talented team towards achieving our ambitious goals.
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The Manager, Data Engineering & Warehouse actively contributes to the evolution of the Data Engineering, Data Warehousing and Data Integration solutions. Le/La Gestionnaire, Entreposage des données et ingénierie contribue activement à l'évolution des solutions de Data Engineering, Data Warehousing et Data Integration.
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Identify and support the development and implementation of new types of tools and data management for various teams across the Division including creating and updating instructions and documentation.
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The ideal candidate will possess deep expertise in SAP S4H Procurement, SAP Ariba integration, and extensive experience in various SAP modules and data migration. Extensive experience with SAP Materials Management, including direct and indirect procurement, inventory management, and full lifecycle implementations.
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5-7 years of experience in developing application using IBM Planning Analytic (TM1) platform reporting and modeling tool. Should have expert knowledge of the IBM Planning Analytics and BI tools.
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big data mining jobs Title: workforce planning in Montreal, Qc, Canada
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