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Desktop and Mobility, AWS Solutions Architect Associate, AWS Developer Associate, EMC SE: Enterprise Storage ITIL – Foundation MCSE, A+, N+. The ideal candidate will possess a strong background in Data Center builds and management, VMware technologies, Azure, Active Directory, Exchange and SMTP relay, EMC storage, physical server technologies, and related Azure services.
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Proven experience as a Solution Architect, specifically in data migration projects from oracle to Azure. Relevant certifications (e.g., Microsoft Certified: Azure Solutions Architect Expert) are a plus.
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Preferred Qualifications:Certification(s) in cloud technologies (e.g., Microsoft Certified: Azure Administrator Associate, AWS Certified Solutions Architect). Knowledge of DevOps practices and tools (e.g., Azure DevOps, Jenkins, Git.
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Familiarity with big data platforms, such as Azure Databricks, Azure HDInsight, or Azure Stream Analytics. Your proficiency in data modeling, database design, and data warehousing will serve as the bedrock for pioneering innovations, coupled with hands-on experience across various data sources and platforms, with a specific emphasis on Microsoft Azure.
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We are a team of forward-looking professionals in need of a strong candidate with these key required skills :Strong experience building solutions using low code technologies such as PowerApps, Power BI, Power Pages, Power Automate, and Power Virtual Agents, SharePoint online, Dynamics 365 CRM, Azure, SQL, and Dataverse.
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Microsoft-Certified Azure Architect. AWS-Certified Solutions Architect Preferred. At least 5 years of experience in a Solution Architect role serving the Regulatory Information Management domain.
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Design and implement cloud-based solutions using Microsoft Fabric technology stack and Microsoft SQL Server, including Azure Synapse Data Engineering, Azure Data Factory, Synapse Data Science, Synapse Data Warehouse, Synapse Real-Time Analytics, Onelake, and Power BI, with a focus on data migration, movement, and transformation.
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Principal Enterprise Architect) to collaborate with different divisions and create a coalition/task force to reverse engineer products and look for inefficiencies. Working knowledge of Azure data platform – data factory, data catalogs, data lake, analytics, Azure storage options, Azure SQL, Cosmos DB, Azure DevOps, 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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A strong understanding of Microsoft licensingIndustry-recognized certifications similar to: Microsoft Azure Solutions Architect is a plusAbility to work with limited oversight to complete necessary work tasksKnowledge of Compute, Storage, Network and Virtualization PlatformsAn understanding of hyper-converged infrastructureAbility to advise customers on cloud security best practices.
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Google Certified Cloud Architect, Google Certified Data Engineer, AWS Certified Solutions Architect, Azure Solutions Architect. Designing, architecting, implementing, and managing cloud infrastructure on leading Cloud platforms Google Cloud Platform, AWS and Azure.
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Perform full lifecycle application development in D365, including configuration, coding, unit testing, code walk-through, debugging and code deployment, utilizing Microsoft Azure DevOps and employing coding standard and patterns.
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One or more certifications in Microsoft Azure and cybersecurity (e.g., Azure Solutions Architect, CISSP, CISA, CISM, CEH, GSEC, GCIH). The ideal candidate will have a strong background in Azure services, including Azure Virtual Desktop, MDM Intune, Azure Backup, and PowerShell scripting.
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Cloud Architect and Network certifications such as Azure Architect Expert + Azure Network Engineer Associate. Cloud certification such as Azure Architect Expert + Azure Network Engineer Associate.
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This architecture includes an Databricks, Microsoft Azure platform tools (including Data Lake, Synapse), Apache platform tools (including Hadoop, Hive, Impala, Spark, Sedona, Airflow) and data pipeline/ETL development tools (including Streamsets, Apache NiFi, Azure Data Factory.
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