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Design, develop, and implement data architecture solutions using SQL Server, Microsoft Azure, Snowflake, and Databricks. The ideal candidate will have extensive experience in designing and implementing data solutions, with proficiency in SQL Server, Microsoft Azure, Snowflake, Databricks, and other relevant technologies.
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Exam AZ-104: Microsoft Azure Administrator. AZ-104: Microsoft Azure Administrator. AZ-103: Microsoft Azure Administrator. Architecture and engineering of Microsoft Azure, providing guidance and deep technical knowledge on various Azure architecture elements deployed in an Enterprise environment.
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Support team in the design and implementation of highly available, scalable, and secure modern mobility solution using industry best practices on Microsoft Intune and Azure AD other third-party technologies.
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Data Management & Automation: Knowledge with data systems like Snowflake or Microsoft Azure and proficient in querying and managing data using SQL or tools like Alteryx and Power Automate / Query.
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The cloud environments we are operating in today are AWS, Microsoft Azure, and Oracle. Technical Environment: Microsoft, Linux, Splunk, Ansible, Tenable, GEMS, SIEM/Sentris. As a subcontractor we are providing services from: DevSecOps, software development, network administration, systems analysis, database administration, storage engineering, hardware engineering, Tier 1 - Tier 3 support in traditional data center environments (bare metal frames), cloud, and hybrid cloud.
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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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Experience working in business development or a customer service-related role, selling Oracle NetSuite, Salesforce CRM, Microsoft Dynamics CRM & Business Central, and/or Microsoft Power BI is not required but a major plus.
$70,000 - $90,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Certifications such as Microsoft Certified: Azure Solutions Architect Expert, Microsoft Certified: Azure Administrator Associate, or other relevant Azure certifications demonstrate expertise in Azure cloud technologies.
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1+ year of experience in data engineering using open-source technology stack along with cloud computing (AWS, Microsoft Azure, Google Cloud) Examples include Snowflake, Azure DW, Redshift, or similar technology in other private or public clouds.
$72,000 - $185,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud) 3+ years of experience with AWS, GCP, Microsoft Azure, or another cloud service. Lead a portfolio of diverse technology projects and a team of developers with deep experience in distributed microservices, and full stack systems to create solutions that help meet regulatory needs for the company.
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Have foundational knowledge with: RadiantOne VDS RadiantOne ICS RadiantOne MIR/Data Lakes Radiant FID RadiantOne Virtual Identity Builder RadiantOne Global Synchonization (BSB, PIV-to-AD, IDMS, GalSync) SailPoint IdentityIQ Microsoft Active Directory Active Directory Federation Services Okta Amazon Web Services Microsoft Azure.
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At least 3 years of experience in Cloud Native technologies (Amazon Web Services, Microsoft Azure, Google Cloud Platform) 2+ Experience with distributed database systems (Cassandra, ElasticSearch.
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Skill Required / Desired Amount of Experience Experience in IT asset management, IT contract management or IT technical support Required 7 Years Strong knowledgebase in IT Asset Management best practices Required Strong knowledgebase of software license management and related procurement practices Required Bachelor's degree in Business Admin, Finance, Engineering, IT or related field Required Relevant ITAM certifications (CSAM, CHAMP or CITAM) Highly desired.
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Validating and training AI machine learning models with annotated training sets in tuning accuracy of the AI models for CLM use cases;Demonstrating knowledge of machine learning and artificial intelligence workloads and considerations on Azure;Demonstrating knowledge of Azure Blob storage, Azure Service Bus and Azure Key Vault cryptography;Designing solutions for custom applications using the Microsoft.
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MCSA, MCSE, Azure Solutions Architect, Microsoft Endpoint Administrator Associate, Microsoft Azure Administrator, or Microsoft 365 Certified Modern Desktop Administrator Associate (MDAA.
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business systems microsoft azure sales jobs Title: intelligence in Chevy Chase, MD
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