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5+ years of relevant Microsoft Azure architecture, design & delivery experience. Microsoft Azure Architecture Certification. He/She will be a Subject Matter Expert (SME) on Cloud, Microsoft Cloud, Azure, DevOps within the division, and will be expected to champion the focus on Microsoft Azure.
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Expertise in cloud architecture/platforms (i.e., AWS, Azure, GCP), Azure Cloud products (i.e.: Monitor, Databricks, Data Factory, Data Lake, Function, Serverless/Managed Compute/SQL, Key Vault, Sentinel, VMware, etc.
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5+ years of experience in data architecture, data modeling, and database design, with a focus on Microsoft Azure. 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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Minimum 2 years of management and leadership experienceKnowledge of Windows workstation platforms, Azure AD, Intune/Modern Management, GPO, Microsoft o365, Microsoft Endpoint Configuration Manager (formerly SCCM)Limited immigration sponsorship may be availablePreferred Technical skills:Data Science / Analytics using a multitude of data sources.
$102,500 - $210,600 a yearFull-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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Microsoft Azure DevOps Engineer and/or Solutions certification desirable. Proven experience in Cloud (preferably Microsoft Azure), DevOps and database practices and methodologies, with a strong background in system administration and software development.
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The Enterprise Cloud Team is looking for a Senior Cloud Engineer with hands-on Microsoft Azure cloud engineering experience and required Databricks infrastructure, performance, hands-on.
Full-timeRemoteExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Management and migration to Microsoft Azure Active Directory Modern Management from legacy AD domain joined environments, including GPO translation and conversion. Responsible for Microsoft O365 optimization and updates including driving value from the product suite.
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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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2+ years of hands-on experience in public or private cloud, including systems and network management, primarily in Microsoft Azure and AWSThorough understanding of emerging hybrid cloud environments (public - private)Demonstrated ability to perform consulting, architecture, implementation, support, and migration to cloud platforms (e.g. Microsoft Azure, AWS, Red Hat Cloud Suite, Google Cloud Platform, OpenStack, VMware, etc.
ExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Extensive experience or knowledge of cloud-based data platform technologies such as AWS, Microsoft Azure or Google Cloud Computing. In depth knowledge of modern data technologies including Snowflake, RedShift, Azure SQL/Synaspe, Databricks or similar technologies.
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At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud) 4+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud) The Senior Lead Data will be responsible for partnering with Technology, Machine Learning, Product Architecture, and other Capital One teams to support the development of the Finance Tech Data Strategy into products and services we create and consume.
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InterVision is an AWS Premier Partner and Microsoft Azure Gold Partner with a rapidly growing team of world class AWS and Azure Solution Architects, Cloud Engineers, DevOps Specialists, Security Specialists, Network specialists, Database specialists, Big Data specialists, and ML/AI data scientists.
ExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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Good understanding of network concepts, including TCP/IP, DNS, firewall, NAT and VPN In-depth knowledge of cloud automation and configuration management tools, such as Terraform, Azure Automation, or Ansible Solid understanding of microservices architecture, containerization, and orchestration using Kubernetes Strong knowledge of IIS, SQL, Apache, Nginx, Envoy Work.
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This role will provide expertise to support the development of a Big Data / Data Lake system architecture that supports enterprise data operations for the District of Columbia government, including the Internet of Things (IoT) / Smart City projects, enterprise data warehouse, the open data portal, and data science applications.
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In this role, you will:Manage and lead architecture and engineering team to deliver an optimized productivity platform and exceptional digital experience (Desktop/laptop hardware configuration, OS platform upgrades, productivity software solutions, end-user management, client software deployment, antivirus systems, and imaging design and engineering.
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