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Advance Analytics: Python, R Studio, Data R obot , DataBricks MLflow , AWS Sagemaker, Azure Machine Learning Studio. Big Data: Azure Stream Analytics, Azure HDInsight, Amazon E lastic Map Reduce (EMR) , AWS Athena, Apache Spark, Hadoop, Hive.
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Understand the concepts and applications of Microsoft technologies related to Dynamics 365 including the Power Platform and Microsoft Azure. Understand the concepts and applications of Microsoft technologies related to Dynamics 365 including the Power Platform and Microsoft Azure.
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Cloud Infrastructure: Virtual Machines, Azure Database, and storage technologies (Storage Accounts, SQL Server, CosmosDB), Virtual Networks, Azure Site Recovery, Traffic Manager, Azure Automation, ARM Templates, Azure Load balancer, API Gateway and Azure AD.
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Assist project teams with Active Directory integration patterns using AD and Azure AD, Azure MFA, ADFS & Azure Federation and SSO patterns. Extensive hands-on knowledge and experience of identity and access management best practices, procedures, and software solutions such as CyberArk, ForgeRock, Okta, Ping Identity, etc.
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Experience working with cloud technologies like Snowflake on Microsoft Azure, Amazon AWS or Google GCP. Prior experience supporting Data Governance initiatives desired: Data Quality, Metadata Management (Data Cataloging, Data Lineage), Master Data Management, Data Security.
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As a Senior Data Engineer, you will be responsible for the development of complex data sources and pipelines into our data platform (i.e. Snowflake) along with other data applications (i.e. Azure, Airflow, etc.
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Developing Modern Data Warehouse solutions using Azure Stack (Azure Databricks) Knowledge of Azure Data Factory or Databricks scheduling features to automate Databricks jobs. Role: Azure Databricks Architect.
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Experience managing, configuring, and administering Active Directory on-prem and Azure Active Directory Experience with leveraging Conditional Access policies, Security Center, Compliance Center, Insider Threat Management, MCAS, DLP, ATP, AIP, EOP.
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Knowledge of distributed databases such as Redshift, Snowflake, Azure Synapse, and BigQuery. Experience with cloud based data services offered by Azure, AWS and Google. Knowledge of distributed databases such as Redshift, Snowflake, Azure Synapse, and BigQuery.
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Familiarity with Azure services relevant to PowerApps, such as Azure Logic Apps, Azure Functions, and Azure AD. We are seeking a Microsoft Power Platform Developer with a strong background in Azure cloud services.
$70,000 - $110,000 a yearFull-timeRemoteExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Networking technology in Cloud Azure, Oracle IAC development (Infrastructure as Code) Azure/DevOps pipelines, DevOps (CI/CD) Use networking technology in one or more cloud providers such as Azure, Oracle, Amazon and GCP.
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Expertise in cloud computing platforms, such as AWS, Azure, or Google Cloud. Job Description The VP, Professional Services is responsible for leading and managing the migration of data, applications, and infrastructure from legacy systems to modern cloud-based solutions.
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Experience with Azure and AWS cloud security principles and technologies. Professional Cyber Security Certification Required (e.g., CISSP, CCSP, SSCP, CEH or equivalent.) Experience with security tools and technologies such as firewalls, SIEM (Splunk), IDS/IPS, DLP, endpoint security, etc.
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Advanced knowledge of SQL, comfortable writing and debugging SQL queries and extracting from Azure SQL Server; knowledge of diverse data stores and data integration tools is a plus (Azure Databricks, Snowflake, Data Factory, Matillion, etc.
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Ideal Background: Healthcare background including Azure ADF and Databricks background. Exposure to Amazon Redshift, Amazon S3, Hadoop HDFS, Azure Blob, or similar big data storage and management components.
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