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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). At least 2 years of experience with Cloud Native technologies (Amazon Web Services, Microsoft Azure, Google Cloud Platform.
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At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud) 3+ years of experience with AWS, GCP, Azure, or another cloud service. The Enterprise OneStream RunTime team in the Enterprise Data and Machine Learning (EDML) organization supports the AWS hosted Data Ingestion and Data Processing applications enabling a centralized data movement platform across Capital One. You will get an opportunity and exposure to all possible data pattern combinations across Capital One and dive deep into the unique engineering challenges it brings around data integrity, security and scale.
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1+ 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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