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This role is focused on data engineering to build and deliver automated data pipelines to and from various data sources, primarily iSeries to and from Microsoft Dynamics 365.
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Lead design and development of data-oriented solutions involving On-Prem and cloud (Microsoft Azure) technologies as a Python/Databricks Engineer on the Supply Chain Forecasting and Replenishment team.
$129,000 - $194,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Hands-on experience with guiding the virtual data model definition, defining Data Virtualization architecture and deployment with focus on Azure, Databricks, PySpark technologies.
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Hands-on experience with infrastructure as code practices and implementation, including use of tools such as Azure Resource Manager, Terraform, or similar tools. Relevant certifications such as Microsoft Certified: Azure Solutions Architect Expert or Microsoft Certified: Azure DevOps Engineer Expert are a plus.
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Provide technical expertise and guidance on the selection, and hands-on implementation, and optimization of big data platforms, tools, and technologies across multiple cloud environments (e.g., AWS, Azure, GCP, Snowflake, etc.
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Provide subject matter expertise and hands on delivery of data capture, curation, and consumption pipelines for Microsoft Azure. Extensive hands-on experience implementing data migration and data processing using Azure services: ADLS, Azure Data Factory, Azure Functions, Synapse/DW, Azure SQL DB, Event Hub, IOT Hub, Azure Stream Analytics, Azure Analysis Service, HDInsight, Databricks Azure Data Catalog, Cosmo Db, ML Studio, AI/ML, etc.
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We focus on contributing to PwC's value proposition of "strategy led and technology enabled", by aligning our Consulting Solutions' industry focus with the Microsoft technologies such as Dynamics 365, Azure, Power Platform and Power BI.
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Being a domain expert on data modeling, data pipelines, data quality and data warehousing. Experience with Cloud Services (AWS, Google Cloud, Microsoft Azure, etc.
$147,500 - $195,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience with Databricks platform on Microsoft Azure. 4-6 years of hands-on data engineering experience. 3-5 years of hands-on experience with SQL, data modeling, relational databases and/or no SQL databases required.
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Multiple certifications such as AWS Solutions Architect Pro, AWS DevOps Engineer Pro, Microsoft Azure Solutions Architect Expert, Azure DevOps Engineer Expert, Terraform Associate, etc.
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Required 10 Years Hands-on experience with Azure services such as Azure Data Factory, Azure Databricks, Azure Data Lake Storage, Azure SQL, Azure Synapse Required 5 Years Hands-on experience in SQL Server (SSIS, SSRS, SSAS), ORACLE, T-SQL Required 10 Years Hands-on experience in Azure SQL Database, Azure SQL Datawarehouse Required 7 Years Hands-on experience in deploying and maintaining large-scale data processing pipelines.
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Has knowledge and can quickly ramp-up and leverage cloud-based cognitive service APIs such as Microsoft Azure, AWS and/or IBM Watson. Experience with cloud computing frameworks or API's such as Microsoft Azure, Amazon Web Services and IBM / Watson.
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Cloud Computing: Knowledge of cloud computing technologies such as Apache Spark, Azure Data Factory, Azure DevOps, Azure ML, Hadoop, Microsoft Azure, Databricks, AWS, and Google Cloud.
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Angular JS Microsoft Azure IoT SAP C/4HANA for Utilities, J2EE CSS MySQL JavaScript Node js Flask Python Azure Event Hub Microservices Spring Boot Redux Azure Container Services Azure SQL Azure Cosmos DB Azure Kubernetes Services Azure Functions Docker Azure Virtual Machine.
$83,200 - $106,200 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Microsoft Azure DevOps. Demonstrates extensive ability to collaborate with Microsoft Dynamics 365 Technical Architects, clients, engineering teams including developers, testers and PMO to deliver a quality product and implementation.
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hands on microsoft azure data quality jobs Title: data engineer in East-hartford, Connecticut
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