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Experience with cloud computing platforms and data warehouse solutions such as AWS, Azure, Snowflake, and Microsoft SQL Server. Working knowledge with cloud computing platforms such as AWS, Azure, or Google Cloud.
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At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud) 4+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud.
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Center 1 (19052), United States of America, McLean, VirginiaSenior Manager, Data Engineering (Spark, AWS) Utilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift and Snowflake.
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4+ years of data warehousing experience (Redshift or Snowflake) As a Capital One Senior Manager Data Engineer, you’ll have the opportunity to be on the forefront of driving a major transformation within Capital One.
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FACTORS TO HELP YOU SHINE(Required Skills)Solid experience developing with Microsoft 365 services including Power Automate and Power Apps. Common data services (Dataverse) and integration to Dynamics 365 using API (Azure API Management) custom-connectors within PowerApps.
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AWS Certified Solutions Architect – Associate, Microsoft Azure Administrator Associate Certification, or GCP Associate Cloud Engineer Certification. 4+ years of experience with building, operating, and maintaining compliant cloud computing environments in Amazon Web Services, Microsoft Azure, or Google Cloud Platform.
$84,600 - $193,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Knowledge of native commercial Cloud (AWS, Azure, GCP) services, PaaS and SaaS solutions. Experience developing, integrating, deploying, and maintaining software solutions in modern DevSecOps environments.
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Demonstrated proficiency in the design and implementation of modern data architectures and concepts such as cloud services (e.g., AWS, Azure, GCP), real-time data distribution (e.g., Kafka, Kinesis,DataFlow, Airflow), NoSQL (e.g., MongoDB, DynamoDB, HBase, CosmosDB) and modern data warehouse tools including Snowflake and DataBricks.
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4+ years experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL) New York City (Hybrid On-Site): $201,400 - $229,900 for Lead Data Engineer.
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Cloud Certifications: Additional certifications related to cloud platforms, such as AWS Certified Solutions Architect, Microsoft Certified: Azure Solutions Architect, or Google Cloud Certified - Professional Cloud Architect.
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3+ years of experience with AWS, GCP, Microsoft Azure, or another cloud service. Utilize programming languages like JavaScript, Java, HTML/CSS, TypeScript, SQL, Python, and Go, Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of AWS tools and services.
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Experience with provisioning virtual resources and building infrastructures in AWS, Google Cloud, Microsoft Azure, and Digital Ocean commercial clouds. Far Ridgeline Engagements LLC (a QinetiQ US Company) is seeking an experienced cloud data engineer/developer to help lead a growing team with a US Department of Defense operations support project developing modern, cloud-based solutions to empower customers to securely store and analyze data.
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In-depth knowledge of cloud platforms like Amazon Web Services (AWS), Microsoft Azure, Google Cloud Platform (GCP), or others. Holding relevant certifications, such as Certified Cloud Security Professional (CCSP), Certified Information Systems Security Professional (CISSP), or vendor-specific certifications (e.g., AWS Certified Security - Specialty, Azure Security Engineer Associate) is a plus.
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Maintain and mature a complex federated Splunk environment consisting of on premises and cloud hosting (including but not limited to Amazon Web Services (AWS) Commercial, AWS GovCloud, Microsoft Azure, and Splunk Cloud) infrastructure utilizing best practices, industry standards, and emerging technologies.
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At least 4 years of experience with Cloud Native technologies (Amazon Web Services, Microsoft Azure, Google Cloud Platform) Utilize programming languages like Java, Python, SQL, Ruby and Go, Container Orchestration services including Docker and Kubernetes, CM tools including Ansible and Terraform, and a variety of AWS tools and services.
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modern microsoft azure aws jobs Title: sr data in Mclean, VA
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