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At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud) 4+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud.
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Certification Requirements Certifications in cloud technologies like AWS Certified Solutions Architect, Azure Solutions Architect Expert, or Google Professional Cloud Architect.
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SAIC’s National Intelligence Community (NIC) Business Unit, USG Mission and Information Technology Division, provides solutions and services supporting digital modernization programs in areas such as systems engineering, multi-cloud computing, cybersecurity, data science and analytics, artificial intelligence and machine learning, quantum computing, application development DevSecOps, cloud network operations, and secure communications.
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We are looking for an experienced cloud solution architect that supports our international customers moving and modernizing their Adabas and Natural applications from on-prem platforms to the cloud.
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Microsoft Azure Solutions Architect, AWS Solution Architect Professional, or Google Cloud Architect Certification. 3+ years of experience with cloud computing platforms such as AWS, Azure, or Google Cloud Platform, including experience with serverless architectures, containers, and orchestration (Azure is a must.
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Active AWS Certified Solution Architect Professional or AWS Certified DevOps Engineer Professional certification. Knowledge of native commercial Cloud (AWS, Azure, GCP) services, PaaS and SaaS solutions.
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As a CGI AWS Cloud Engineer, you will be joining the International Affairs (IAF) group to support the mission of U.S. security, economic well-being, and world-wide relations. AWS Cloud Practitioner.
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Dark Wolf Solutions is looking for a Mid-level Data Engineer to work near a Dark Wolf office in Herndon, VA with hybrid flexibility and presence at our site location in Fall Church, VA. Tasks will include working within an Agile DevSecOps team environment using latest cloud-native technologies to architect and implement containerized applications, CI/CD pipelines, and Kubernetes platforms using best practices and leading technologies.
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Familiarity with working in cloud-based environments like Amazon Web Services (AWS), Google Cloud, or Microsoft Azure and their machine learning tools. Experience with big data, distributed systems, cloud platforms (Hadoop, AWS, Spark, Kafka, etc.
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Cloud: GCP ( BigQuery, GCE, GCS) AWS (EC2, S3, Lambda, EMR, Redshift, Athena) Data Analysis Visualization: Tableau Desktop, Looker Studio. ETL/ELT: Apache Airflow, AWS Glue, Hadoop.
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Capture and share best-practice knowledge amongst the worldwide AWS solution architect community. In this technical role focusing on Data Analytics and ML, you will architect enterprise-grade AWS solutions, own the technical relationships and deliverables for a GSI, develop and execute multi-day workshops, lead white boarding sessions, author white papers and blog posts, and respond to complex technical inquiries including RFPs. You will partner with Sales, Business Development and the Data & Analytics Service teams to enable partner’s Data & Analytics services adoption.
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Perform and oversee data engineering tasks such as writing scripts, calling APIs, web scraping, and writing SQL queries to handle large datasets. Design, prototype, and integrate distributed caching frameworks such as Evcache and Redis Work with Platforms as a Service such as AWS, Cloud FoW1dry, and OpenShift.
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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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Cloud Solutions Architect (CSA) Architect security controls and compliance measures for cloud environments, incorporating Azure security services and industry standards. Educate and influence stakeholders and engineering teams on effective cloud solutions and best practices.
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Experience with provisioning virtual resources and building infrastructures in AWS, Google Cloud, Microsoft Azure, and Digital Ocean commercial clouds. Far Ridgeline Engagements LLC (a QinetiQ US Company) is seeking an experienced cloud data engineer/developer to help lead a growing team with a US Department of Defense operations support project developing modern, cloud-based solutions to empower customers to securely store and analyze data.
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aws solution architect data engineering google cloud jobs Company: Tiger Analytics in Reston, VA
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