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At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud) 3+ years of experience with AWS, GCP, Microsoft Azure, or another cloud service.
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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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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.
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4+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud) 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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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. Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment.
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Knowledge of native commercial Cloud (AWS, Azure, GCP) services, PaaS and SaaS solutions. Active AWS Certified Solution Architect Professional or AWS Certified DevOps Engineer Professional certification.
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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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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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New York City (Hybrid On-Site): $201,400 - $229,900 for Lead Data Engineer. 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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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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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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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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One or more of the following certifications: Certified Scrum Master (CSM), Certified Information Systems Security Professional (CISSP), AWS Certified Solutions Architect Professional, Google Cloud Professional Certification, PMI Project Management Professional (PMP.
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Advanced experience with Amazon AWS or equivalent cloud computing platform, including Lambda, SNS, EC2, ASGs, ElastiCache, DynamoDB, RDS and CodeDeploy. Experience in developing and working with RESTful APIs that utilize cloud infrastructure such as AWS.
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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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modern microsoft azure aws cloud jobs Title: data engineer in Falls Church, VA
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