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Knowledge of major Cloud Provider infrastructure and technologies, such as AWS, Azure, Google Cloud, Docker / Kubernetes. Relevant Business and IT Architecture Certifications such as, AWS Solution Architect Professional, Microsoft AZURE Solution Architect, Scaled Agile Framework (SAFe) etc.
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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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At least 2 years of experience with Cloud Native technologies (Amazon Web Services, Microsoft Azure, Google Cloud Platform) Utilize programming languages like Java, Python, SQL, Ruby and Go, Container Orchestration services including Docker and Kubernetes, CM tools including Ansible and Terraform, and a variety of AWS tools and services.
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Familiarity with cloud technologies and platforms such as Azure, AWS, or Google Cloud Platform. 5 years in at least one modern programming languages (Java, Python, JavaScript, ACE, IIB/ITX, Informatica preferred), and experience with at least two of the following: React, Angular v4+, NodeJS, NoSQL databases, HTML5, CSS, Google Cloud Platform or Amazon Web Services.
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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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Certifications in cloud technologies (i.e. AWS Certified Solution Architect, Azure Solutions Architect, Google Cloud Professional Architect) Strong experience with cloud platforms (AWS, Azure, Google Cloud.
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Develop a DevSecOps solution featuring a single automated IaC script with a minimum number of commands to create an AWS infrastructure. Perform data migration from on premises environments into AWS.
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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 Scientists responsibilities include collaborating with stakeholders to identify business requirements, leverage Acxioms internal and client data sources creatively, build models, analyze and visualize results, review compliance requirements, and integrate the solution into innovative data products.
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Experience and understanding of common principals of CMDB Discovery – common challenges, access requirements, best practices for cloud (AWS, Azure, Alibaba) discovery, discovery of container technologies (i.e. Kuberentes, EKS, RedHat OpenShift.
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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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Advanced proficiency in cloud-based SQL Environment (BigQuery, Snowflake or RedShift), SQL, and at least one object-oriented language. Experience with data visualization tools (such as Power BI, Tableau or Qlik.
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Building and managing data pipelines using AWS services such as Glue, Lambda, S3, Redshift, and Athena. GovCIO is currently hiring for a Data Scientist with a strong Data Engineering background to design, develop, and maintain our data infrastructure on AWS, and to create descriptive and predictive models that impact productivity, decision-making, and provide strategic mission impact.
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Conferences (recently attended by Praxis employees): AWS Summit, IoT World, Black Hat and DefCon. Training & Certifications: Splunk, AWS, Big Data/Cloudera, VMWare, Scrum Master. Praxis University: Cyber Research, Data Analytics, IoT, AWS and RedHat course offerings and hands-on training.
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The Data Architect/Engineer is a senior technical contributor responsible for the design, technical requirements, and evolution of Confluent’s cloud data strategy. GCP experience, including familiarity with Google Cloud services such as BigQuery, & Dataflow.
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The Cloud Solution Architect will drive technical change management and adoption activities with key business and engineering decision makers, helping reduce implementation risk, driving usage of existing solutions, and identifying opportunities to accelerate the path for customers to realize business value from their investments.
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aws solution data google cloud jobs Title: solution architect Company: Deloitte in Annapolis, MD
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