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At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud) Python, Apache Airflow, Apache Spark, PostgreSQL, Presto SQL, Snowflake SQL, Confluence, JIRA.
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Utilize programming languages such as 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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7+ years of experience in at least one of the following: JavaScript, Java, TypeScript, SQL, Python, or Go. 4+ years of experience with AWS, GCP, 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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Familiarity with cloud computing platforms (e.g., AWS, Azure, Google Cloud) and containerization technologies (e.g., Docker, Kubernetes). Strong proficiency in programming languages and scripting tools used in data engineering (e.g., Python, SQL, Scala.
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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. 4+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud.
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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.
Part-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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1+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud) 3+ years of experience in application development including Python, SQL, Scala, or Java. 2+ years experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, or MySQL.
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This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). 1+ years of data warehousing experience (Snowflake or DeltaLake.
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Work with a team of developers with deep experience in machine learning, distributed microservices, and full stack systems. New York City (Hybrid On-Site): $138,500 - $158,100 for Data Engineer. As a Capital One Data Engineer, you’ll have the opportunity to be on the forefront of driving a major transformation within Capital One.
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At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors, who solve real problems and meet real customer needs. 2+ years of experience with UNIX/Linux including basic commands and shell scripting.
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3+ years of experience with AWS, GCP, Microsoft Azure, or another cloud service. 3+ years of experience with AWS, GCP, Microsoft Azure, or another cloud service. At least 6 years of experience in software engineering (Internship experience does not apply.
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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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Lead a portfolio of diverse technology projects and a team of developers with deep experience in distributed microservices, and full stack systems to create solutions that. 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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Lead a portfolio of diverse technology projects and a team of developers with deep experience in distributed microservices, and full stack systems to create solutions that help meet regulatory needs for the company.
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9+ years of experience in at least one of the following: JavaScript, Java, TypeScript, SQL, Python, or Go. Creating a new solution to offer an industry-leading authorization platform built in a cloud based infrastructure that supports ease of change and a multi-tenant architecture.
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