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At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud) 5+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud) As a Capital One Lead Data Engineer, you’ll have the opportunity to be on the forefront of driving a major transformation within Capital One.
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4+ years using cloud-based warehouse/data lake (Preferably in Azure Databricks metastores/catalogs or similar stacks such as AWS Athena/Redshift, GCP Bigquery, Azure ADLS, etc) 4+ years using a cloud-based computing/analytics platform (Preferably in Azure Databricks or similar stacks such as Azure DataFactory, AWS Lambda/Glue, GCP DataFlow, Databricks, etc.
ExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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Experience in end-to-end implementation of projects in Azure, Snowflake, Python, SQL. Technology|Analytics - Packages|Python - Big Data, Technology|Cloud Integration|Azure Data Factory (ADF), Technology|Data on Cloud-DataStore|Snowflake.
ExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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Relevant hands on experience in the engineering and administration of Microsoft Azure and other cloud technologies such as GCP. This Cloud Infrastructure Engineer should have practical experience in administration of Microsoft Azure and other cloud technologies such as GCP. A strong familiarity with compute, network, and storage in Azure, as well as Azure Active Directory, part of Microsoft Entra.
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Leveraging your Microsoft Azure Artificial Intelligence (AI) and Machine Learning (ML) technical subject matter expertise, you will lead technical conversations with customers and Microsoft colleagues, driving value to their organization.
$101,200 - $194,800 a yearFull-timeExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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Experience in setting up virtual private clouds in public cloud infrastructure such as Amazon Web Services, Microsoft Azure, Alibaba Cloud, or Google Cloud Platform. Experience with designing and engineering connectivity to public cloud providers utilizing technologies such as AWS Direct Connect, Azure ExpressRoute, Google Dedicated Interconnect, or Oracle FastConnect.
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Create/modify/test/manage/retire Intune GPOs and Win10 Policies for new builds, Privileged Identity ManagementMonitor and remediate compliance issues and Packaging/Testing/Distributing application packagesMonitor and Manage from Issue Tracking Tool. AD Mgmt. Setup SSO (Azure) for new AppsTroubleshooting and remediations Cloud or Server-Based ApplicationSecurity and distribution group managementServer and Network troubleshooting, Cisco Umbrella Security Monitoring and reporting.
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Implement data engineering, ingestion, and curation functions on Azure cloud using Azure native programming. As an Azure Subject Matter expert, you will provide guidance and insights, while working closely with Software Engineering teams to leverage shared resources and create efficiencies.
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We are seeking a skilled Machine Learning Engineer with expertise in Azure, Databricks, and MLflow, as well as strong full-stack capabilities, including experience with React. Experience with Azure cloud services, particularly Azure Machine Learning and Azure Databricks.
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Familiarity with CICD tools, Azure DevOps, container technologies like docker, Kubernetes. Must Have: 3-4 Years’ experience with React, CSS. Desired: NextJs, Web Accessibility, Web Performance, Azure, DevOps HYBRID Dallas, TX (3 days per week) 5205 N O’Connor Blvd, Irving TexasThe target hiring compensation range for this role is the equivalent of $50.34 an hour.
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Experience with workflow orchestration management engines such as Airflow, Dagster, DBT, etcExperience with Cloud Services (AWS, Google Cloud, Microsoft Azure, etc). What you’ll be responsible for:As a member of the Data Engineering - Business ETL team, you own the ETL/ELT pipelines and data warehouse that is used for financial and regulatory reporting.
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Certifications for any of the cloud services like AWS, Snowflake, Google Cloud Platform or Azure. Experience in architecting data pipelines and solutions for both streaming and batch integrations using tools/frameworks like Glue ETL, Lambda, Google Cloud DataFlow, Azure Data Factory, Spark, Spark Streaming, etc.
Full-timeExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Review internal customer/business unit use case requirements and able to provide consulting on onboarding them to Azure Work with Microsoft support as needed. Senior Cloud Engineer - Azure-Location: Boston, MA( preferred) - 3 days in the office Can be fully Remote, candidates on Eastern time zone - Must be OK to work east coast time zoneJob Type : Hybrid or RemoteDuration : 12+ monthsOpening : 1 Opening.
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Professional experience working with standard cloud computing platforms (AWS, GCP, Azure, IBM Cloud, etc). Familiarity with tools that we use frequently that aren’t necessarily everyday tools for us: SQL, Jupyter, AWS SageMaker, Google Colab, Azure AI Studio.
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Preferred certifications: Ideally, you have at least 1 Microsoft certification, such as Microsoft Azure Fundamentals, Azure Data Scientist Associate, Azure AI Engineer Associate, Power Platform Solution Architect Expert, or equivalent.
$131,100 - $271,000 a yearFull-timeExpandApply NowActive JobUpdated 5 days ago
microsoft azure jobs Title: engineering manager Company: Capital One in Boston, MA
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