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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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Utilize programming languages like Scala, Java, Python, SQL and GO and NoSQL databases and Cloud based data warehousing services such as Redshift and Snowflake. At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud.
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Technologies: Microservices, AWS, Docker, Kafka, Kubernetes, Cassandra, Java 17, Kotlin, ReactJS, Spring Boot/Cloud/Data, Redis, Postgres. Minimum of 5 years of Java Application Frameworks (i.e. Spring, Spring Boot, Spring Data, Spring Cloud, etc.
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Experience, or desire to learn, data science techniques, including data tidying, scripting in R or Python, and visualization through Excel, Python, R, JavaScript, or Tableau Experience, Google Cloud or desire to learn, web programming, including React, Svelte.
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Demonstrated knowledge via certifications in cloud platforms and/or cyber security; examples include AWS Certified Solutions Architect, AWS Security Specialty, Certified Kubernetes Administrator (CKA), Certified Kubernetes Security Specialist (CKS.
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Knowledge of major Cloud Provider infrastructure and technologies, such as AWS, Azure, Google Cloud, Docker / Kubernetes. Thousands of companies around the world depend on Rocket to solve their most challenging business problems by helping them run their critical infrastructure, business processes, and data, as well as extending the value of these assets to take advantage of cloud and mobile computing, advanced analytics, and other future innovations.
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5+ years experience in one or multiple Big Data or cloud environments (e.g. AWS, Google AI/ML Platform., Snowflake, Databricks) The Expert Data Scientist will be a champion of the latest Machine Learning and Artificial Intelligence technology stack.
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Training & Certifications: Splunk, AWS, Big Data/Cloudera, VMWare, Scrum Master. Experience with software frameworks used for searching, monitoring, and analyzing big data such as Splunk, Elastic Stack, and Prometheus.
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As part of the AI Health Outcomes Challenge held by Centers for Medicare and Medicaid Services, members of this team developed a cloud data pipeline and machine learning architecture to make predictions with a large multiyear sample of Medicare beneficiaries with detailed claims data about millions of people.
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Familiarity with cloud technologies and platforms such as Azure, AWS, or Google Cloud Platform. The ideal candidate will have a good understanding of AI/ML principles, cloud computing, and software/microservice development best practices.
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An Associate of Science (A.S.) or Bachelor of Science (B.S.) degree in Network Engineering, Systems Engineering, Information Technology, or related field (e.g., General Engineering, Computer Engineering, Electrical Engineering, Computer Science, Computer Forensics, Cyber Security, Software Engineering, Information Assurance, or Computer Security.
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We specialize in Computer Network Operations (CNO), embedded development, software engineering, cloud engineering, Artificial Intelligence and Machine Learning (AI/ML), DevOps support, systems engineering and more.
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Proficiency with word processing, spreadsheet, desktop publishing, and CAD/CAFM, IWMS software including MS Office Suite (MS Project, PowerPoint, Excel, MS Teams, and SharePoint). The purpose of this position is to provide space planning, data analysis, reporting, CAD/CAFM support in maintaining facilities AutoCAD drawing files up to current conditions and assist in the development, customization, and maintenance of CAFM/IWMS tools.
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Data Science, Software Engineering, Cloud/AWS Infrastructure, and Cyber/CNO are our core areas of expertise. The program includes custom-written software (in Java, Python, R, and/or other typical data science / data analysis languages) and big data technologies (Spark, Hadoop, Hive, Accumulo, Elasticsearch, etc.
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We are looking for a Technology Analyst to support the development and implementation of the ServiceNow IT Asset Management (Hardware Asset Management and Software Asset Management) capabilities within the ServiceNow Platform.
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