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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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You will join a team of developers with deep experience in machine learning, distributed microservices, and full stack systems to build cutting edge software solutions to address fundamental risk management issues.
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Utilize programming languages like JavaScript, Java, HTML/CSS, TypeScript, Shell Scripts, Selenium, Oracle, Tomcat, SQL, Python, Oracle RDBMS, Docker, Container Orchestration services like Kubernetes, and a variety of AWS tools and services.
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Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC.
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The team is making efforts towards being an enterprise platform driven by various cutting edge technologies including but not limited to Spring, Python, Rest APIs, AWS, Postgres and document db, Pyspark, Apache FOP, and EMR.
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You will work with many cutting edge technologies including Kubernetes, AWS cloud resources, microservices, APIs, Docker, Spark and more. The platform has experienced continued growth and is used by Data Scientists and Machine Learning Engineers at Capital One to complete large scale computing jobs on the cloud, as well as build and train their Machine Learning models.
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The Data Product Interface (DPI) team in Capital One is disrupting existing data access patterns to optimize and elevate data access to Data Products within Capital One. Our cutting edge system is built using modern tech stacks and deployed in the Cloud as a platform to meet Enterprise needs.
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2+ years of experience with AWS, GCP, Azure, or another cloud service. Utilize programming languages like Java, Python, SQL, Node, Go, and Scala, 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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