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Strong knowledge of Microsoft Azure services, including Azure App Service, Azure Functions, Azure Logic Apps, Azure Data Factory, and Azure SQL Database. Especially Sales, Marketing & Power platform related certifications or Microsoft Azure certifications, such as Azure Administrator Associate.
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Proficient with Azure Data Lake, Azure Data Factory, Azure SQL, Azure Databricks, Azure Synapse Analytics or equivalent tools and technologiesExperience building data lakes & data warehouses to support operational intelligence and business intelligence.
ExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
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Hands on experience of working with Azure cloud components like Azure Data Factory, Azure Stream Analytics, EventHub, Azure Synapse (SQL Data Warehouse), Azure Data Lake Storage (ADLS) and DataBricks.
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Exporters Sling Schedulers OSGI Configs & Factory Configure Event Handlers & Listeners Framework API Apache Felix Apache Sling JCR (Java Content Repository) OSGIAEM Dispatcher + Web Server Maven Basics of HTML, CSS, JS, jQuery.
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Js, JSON, REST API, Azure SQL, Azure Data Factory. You have experience in code management and change management use Azure Repo and building CI/CD pipelines on Azure DevOps. Experience with relational database technologies like SQL Server Database and proficient in SQL. Experience with making Application accessibility compliant (AODA)· You have the ability to lead teams through end-to-end software development life cycle.
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Good working knowledge of various Azure cloud services such as Azure data factory: Pipelines, data sets, linked services, integrated with Self-hosted integration runtime, mapping, authoring and monitoring data flows.
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Strong technical expertise in Azure cloud resources - Logic Apps, Azure Data Factory, Synapse Analytics, Databricks, Power BI, Excellent SQL skills and understanding of data warehouse tables/views.
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NET, MS Copilot, MS Fabric, OpenAI, Azure OpenAI, Azure Data Factory, Azure Data Lake, Azure Synapse Analytics, Azure Databricks, Cosmos DB, Azure Machine Learning Service, Artificial Intelligence including BOT framework, Cognitive Services, Cognitive Search, etc.
ExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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The R&D Field Technician oversees product development, customer engineering, and factory support. Post-secondary education in related mechanical or technical field. We do this by sourcing, designing and/or manufacturing a comprehensive array of industrial workplace safety products and making them available through trusted global sales and distribution partners.
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Programming knowledge in Siemens, Rockwell, Simatic WinCC, Factory talk view, and Ignition etc. Programming knowledge in Siemens, Rockwell, Simatic WinCC, Factory talk view, and Ignition etc. Programming of PLC and SCADA software’s from start to finish.
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In-depth knowledge of Cloud Technologies, specifically Azure PaaS and Azure Data Services (Azure, Databricks, Synapse, Data Factory, ADLS). In-depth knowledge of Cloud Technologies, specifically Azure PaaS and Azure Data Services (Azure, Databricks, Synapse, Data Factory, ADLS.
ExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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Experience in PythonExperience in building complex Power BI reports, including data model in Power BI and writing DAXExpert experience in ETL processing using tools Azure Data Factory, SSIS and AirflowIntermediate to senior-level experience in operationalizing data platforms with Azure data solutions such as Azure Databricks, Azure Analysis Service, Azure SynapseExperience in development with Databricks and Snowflake is preferred.
ExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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Proven experience as a Data Engineer or similar role, with a strong background in SQL Server and Azure Data Factory. The ideal candidate will have expertise in SQL Server, Azure Data Factory, and data ingestion architecture within the Azure Cloud environment.
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This will be accomplished by servicing all account needs including quoting prices, introducing new products, liaising between factory and customers on non-routine and major issues. Our client is a leading private label supplier of hand-protection to more than 50 countries in the world, specialized in the widest possible range of Hybrid gloves with unparalleled versatility in liner, coating and impact protection combinations.
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Experience of building data pipelines using Azure Data Factory and Apache Spark (preferably PySpark in Databricks). Designing and implementing efficient data ingestion pipelines from multiple sources using Azure Data factory and/or Azure Databricks.
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factory job in Toronto, On, Canada
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