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Hands-on experience with data flow and pipeline frameworks such as Kafka, NiFi, Spark, Airflow, and Hadoop, and experience performing source to target data mapping. Hands-on experience with one or more database technologies (e.g., PostgreSQL, Oracle, MySQL, SQL Server, DB2, MongoDB, Neo4j, Couchbase, Cassandra.
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We provide valuable support solutions on a wide range of technologies, including Data analytics, Artificial Intelligence (AI) and Internet of Things (IoT), Business Intelligence and Power BI, SQL, Dynamics 365, and Power Platform, that elevate our customers’ trust in Microsoft and improve their business performance.
$83,400 - $183,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience with artificial intelligence, large language models, machine learning, and natural language processing techniques. Knowledge of cloud platforms and technologies such as Amazon Web Services, Microsoft Azure, and Google Cloud Platform.
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Client is seeking a hands-on Senior Data Engineer with extensive experience (Hands on) in Azure data services and Databricks. Experience with on-premises to Azure cloud migration.
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They should also have experience working with Microsoft Power BI, Azure SQL Data Warehouse, Azure Analysis Services. The ideal candidate should also be well versed backend sql developer experienced in writing complex SQL scripting to fetch the data from SQL Data Warehouse and can build necessary data model to support the business intelligence needs and various other initiatives which requires the data.
$89,000 - $131,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Hands-on knowledge in machine learning, deep learning, Tensorflow, Python, NLP. Develop and support assigned business applications, taking on an active role in all stages of the application development life cycle.
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2+ years hands on experience on Azure Services like Databricks, Azure Data Factory, Azure Storage Accounts & Azure Data Lakes. Design and architect solutions on Microsoft Azure and related technologies including ADF, ADLS, ASA, AAS, AML and Power BI.
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Certifications/Licenses: AWS Certified Solution Architect, AWS Certified DevOps Engineer, AWS Certified Developer, Microsoft Certified Azure Solution Architect, Microsoft Certified Azure DevOps Engineer, Microsoft Certified Azure Developer, Certified Kubernetes Administrator (CKA), Certified Kubernetes Application Developer (CKAD), EXIN DevOps Master, Finops.
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As a Senior Cloud Security Engineer, you will play a key role in the on-going configuration and management of our Microsoft Azure Cloud security suite specifically Microsoft Defender for Cloud Apps, Azure Sentinel SIEM, Defender for Endpoint, and Defender Vulnerability Management.
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Hands on experience on working in Azure cloud platform. Have good experience configuring Microservices using Docker, Kubernetes on Azure Data Bricks. Extensive Experience on working on Azure AI services including Data Bricks and Azure cognitive services.
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Hands-on development experience with Java stack – JSP, JSF, Spring, JMS, JDBC, Web Services, Weblogic and JBOSS, Apache,. Experience with continuous integration and DevOps methodologies, preferred tools such as GitHub, Jenkins, Nexus, Rally, Jira, SonarQube, Azure DevOps, AWS Code Pipeline.
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Experience managing infrastructure in Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP). Bloomberg has been building Artificial Intelligence applications that offer solutions to these problems with high accuracy and low latency since 2009.
$165,000 - $260,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Hands on configuration of Microsoft Sentinel from the ground up including data ingestion validation/prioritization, initial configuration, and continued management of Azure Sentinel.
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Hands on experience designing/implementing complex Terraform workflows using Azure DevOps Pipelines or GitHub Actions. Demonstrable experience with the following technologies: Microsoft Azure Platform-As-Service (PaaS) products such as Azure SQL, App Services, Container Apps, Functions, and other Serverless servicesUnderstanding of Microsoft Identity, Access Management, and Encryption products including Azure AD, AADS, IAM, RBAC, Management Groups, and KeyVaultMicrosoft Azure Operational and Monitoring tools, including Azure Monitor, Azure Network Watcher, App Insights, and Log Analytics.
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At IBM, we pride ourselves on being an early adopter of artificial intelligence, quantum computing and blockchain. Hands-on technical experience with IBM Integration software or equivalent, including IBM MQ, IBM App Connect Enterprise, IBM API Connect, IBM DataPower, IBM Aspera, IBM WebSphere/Liberty, Confluent Platform/Apache Kafka, and the Cloud Pak for Integration platform.
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hands on microsoft azure artificial intelligence jobs Title: senior data engineer in Columbia, Missouri
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