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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.
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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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Experience with cloud computing (AWS, Microsoft Azure, Google Cloud, Hybrid Cloud, or equivalent) 4+ years of experience with AWS, GCP, Azure, or another cloud service.
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Lead Software Engineer, Full Stack (Enterprise Data) Enterprise Data is hiring a Lead Software Engineer! As a Capital One Lead Software 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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Experience with a public cloud, including AWS, Microsoft Azure, or Google Cloud. As a big data engineer at Booz Allen, you’ll use your skills and experience to implement data engineering activities on some of the most mission-driven projects in the industry.
$60,400 - $137,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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As a big data engineer at Booz Allen, you'll implement data engineering activities on some of the most mission-driven projects in the industry. We need an experienced data engineer like you to help our clients find answers in their big data to impact important missions-from fraud detection to cancer research to national intelligence.
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3+ years of experience with a public cloud (e.g., Microsoft Azure, AWS, Google Cloud). Use cutting edge technologies such as Python, Scala, Spark, and a variety of Cloud services to develop modern data pipelines supporting Machine Learning and Artificial Intelligence.
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4+ years of experience with AWS, GCP, Microsoft Azure, or another cloud service. ⦁ 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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Experience with a public cloud (AWS, Microsoft Azure, Google Cloud) Experience operating production workloads on Oracle/PostgreSQL (preferred) Solid understanding of data elements and their relationships between the source and target systems Experience working on real-time data and streaming applications.
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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, youll have the opportunity to be on the forefront of driving a major transformation within Capital One.
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Experience with cloud computing (AWS, Microsoft Azure, Google Cloud) 3+ years of experience with AWS, GCP, Azure, or another cloud service. Experience working with cloud data solutions (Delta Lake, Iceberg, Hudi, Snowflake, Redshift or equivalent.
$76,000 - $236,500Full-timeRemoteExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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5+ years of experience with a public cloud, including AWS, Microsoft Azure or Google Cloud. As a lead big data engineer at Booz Allen, you'll use your expertise to lead data engineering activities on some of the most mission-driven projects in the industry.
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Performance and Innovation: Monitoring and optimizing the Firm’s data platforms (Mostly, but not limited to Microsoft SQL Server on premises, and Microsoft Azure Cloud), data engineering processes, identifying areas for improvement, and driving innovation to enhance data processing efficiency, data quality, and overall system performance.
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2+ years of experience with a public cloud (AWS/Microsoft Azure/ Google Cloud) Expert-level proficiency in Azure Data Factory, Integration Platforms, Python programming, DBT, and data modeling.
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microsoft azure cloud jobs Title: data engineer in Mclean, VA
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