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Cloud data or AI related Microsoft Associate or Expert certifications are a plus (examples: Azure Administrator Associate, Azure AI Engineer Associate, Azure Data Scientist Associate, Azure Data Engineer Associate, Azure Solutions Architect Expert, Microsoft Cybersecurity Architect Expert or similar.
$192,500 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Demonstrated programming skills in Python, SQL, and at least one ETL tool (like Google Cloud Dataflow, Azure Data Factory, Airflow, DataStage, Talend, or Informatica). Demonstrating understanding of Azure tools such as Data Factory, Analysis Services, Databricks, Power Apps, Power BI, Purview, etc.
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Experience with CI/CD tools and engineering practices (Jenkins, Octopus, Azure DevOps) Experience with scripting technologies (PowerShell, Bash, Python, Azure Resource Manager Templates, Desired State Configuration, JSON.
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Professional certifications in Information Technology and cloud security; Azure Solutions Architect Certification, Microsoft Azure Architect Technologies (preferred) CCSP, CISA, CEH, OSCP.
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The role will own Zabbix monitoring platform as well as Backup (Commvault) and Disaster Recovery (Azure ASR) platforms. Deliver and maintain backup (Commvault), Disaster Recovery (Azure A2A) and monitoring (Zabbix) platforms ensuring they are fully operational, rightsized, secure and configured following the best practices defined by ESI and the software vendor as well as the ones generally accepted by the IT industry.
$150,000 - $165,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experienced or willing to learn leading edge Microsoft enterprise cloud technologies such as Dynamics 365 CRM, Office 365, Microsoft Azure. Strong experience setting up and deploying CI/CD pipelines within Azure DevOps. Excellent automation and scripting skills with PowerShell.
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Experience delivering solutions across multiple cloud-based solutions including Azure, and AWS, and deploying to iPaaS solutions such as MuleSoftExperience in the following tools and technologies: Atlassian Confluence, SonarQube, LucidChart, Ansible, Terraform, Kubernetes.
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Experience with Azure platform, DevSecOps and MLOps, specifically the following: Advanced knowledge of current Microsoft Azure products, including: Azure Machine Learning Studio, Azure Data Factory, Azure Databricks, Azure Synapse, Azure Monitor and Azure EventGrid, Azure Cognitive Services.
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Proven work experience as a Cloud Engineer or similar role, with demonstrable expertise in Azure DevOps, CI/CD pipeline management, and cloud security best practices. Relevant training and/or certifications as a Cloud Engineer, particularly in Azure and other relevant cloud platforms.
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Preferred Skills Production experience with core data platforms such as SQL Server, Databricks, Azure, Spark, and Hadoop. Collaborate seamlessly across technical stacks, with a strong focus on Databricks, SQL Server, and Azure.
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Experience with cloud-based IGA platforms like Ping Identity, Okta, Windows Active Directory, Azure AD B2C, and SailPoint. Design and implement secure, scalable, and resilient IGA solutions on Azure Active Directory (AD.
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In depth knowledge of modern data technologies including Snowflake, RedShift, Azure SQL/Synaspe, Databricks or similar technologies. Extensive experience or knowledge of cloud-based data platform technologies such as AWS, Microsoft Azure or Google Cloud Computing.
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Experience with data modeling, data prep and machine learning tools like Alteryx, RapidMinder, RStudio and Tableau Prep. Experience with statistical and mathematical modeling, artificial intelligence and machine learning software and methods.
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Their passion for learning is infectious and excites others. Extensive experience or knowledge of data visualization technologies such as Tableau, Power BI, Qlik and Spotfire. Conduct data management maturity assessments and identify pain points for including data quality, governance, architecture, analytics, metadata management, master data management.
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Mature, humble, and genuine, SEI-ers frequently go above and beyond for both their clients and their colleagues. SEI-ers enjoy working with genuine, thoughtful folks who want to steer clear of the traditional grind and share the joy of day-to-day life and activities with colleagues, friends, and family.
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azure job Title: machine learning engineer Company: Advantis Global
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