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AWS certification (Solutions Architect, DevOps Engineer or Database Speciality) 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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Hands-on expertise building, deploying, and managing machine learning models on cloud platforms like Google Cloud (BigQuery, Vertex AI), AWS (SageMaker, Lambda), or Azure (Machine Learning Studio.
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1 or more professional cloud certifications: AWS Cloud Practitioner, AWS Solution Architect - Associate, AWS Developer - Associate, AWS Security - Specialty, or AWS Solution Architect - Professional.
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Deliver full-life cycle Service Oriented Architecture (SOA) and Oracle based solutions using Agile and DevOps methodologies across Web, Mobile and Cloud architectures. Knowledge and hands on experience with Integration frameworks offered by OIC to integrate with Oracle Cloud SaaS (ERP, EPM) applications.
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As the Data Scientist, you will use Google Cloud Platform (GCP) tools and technologies, such as Vertex AI and BigQuery, to build, deploy, and monitor scalable and robust machine learning solutions.
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At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud) 2+ years of experience with AWS, GCP, Azure, or another cloud service. 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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Experience working with cloud infrastructure and containerization technologies such as AWS, Docker, and Kubernetes is preferred. Our tech stack: Javascript, React, Redux, Python, Django, Flask, Kubernetes, AWS, Docker and more.
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Extensive experience or knowledge of cloud-based data platform technologies such as AWS, Microsoft Azure or Google Cloud Computing. Intimately familiar with data technologies, data architecture frameworks, cloud platforms and the emerging trends in technological advancements.
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Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment. New York City (Hybrid On-Site): $197,400 - $225,300 for Lead Software Engineer.
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Experience with cloud-based data platforms (e.g., AWS, Azure, Google Cloud Platform). Experience with marketing analytics tools (e.g., Google Analytics, Adobe Analytics, Salesforce Marketing Cloud) and how to drive key performance indicators.
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Experience in AWS technologies such as EC2, Redshift, Cloud formation, EMR, AWS S3, AWS Analytics required. AWS certification is preferable: AWS Developer/Architect/DevOps/Big Data.
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We sell the latest AI technologies from Nvidia, Supermicro, Dell, HP, Microsoft, Google, Cisco, Lenovo, Apple, VMWare, Adobe, APC, IBM, Nutanix, EMC, Pure Storage, Samsung, Intel, Eaton, and all the hottest AI and Green Data Center, Virtualization, Energy Conservation, Cloud, Storage, Security, Wireless, SD Wan, Video, Identification, solar, and battery technologies.
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Primary responsibility will include processing, analyzing and archiving neuroimaging datasets and facilitating integration of neuroimaging and clinical data repositories using the Integrated Neurodegenerative Disease Database (INDD) and cloud-based commercial platform FlyWheel.
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W-2 Employment, Medical, Dental, and HSA Benefits, 401K Retirement Plan, and GHA company stock ownership (ESOP) plan. Mission critical, online, vast E Commerce distribution network coast-to-coast warehouse locations support just-in-time delivery.
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You'll not only manage and promptly resolve incidents as they arise but also use your advanced knowledge of Azure and AWS cloud services to prevent potential issues through strategic innovation.
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aws cloud jobs Title: devops engineer Company: Experis in Philadelphia, PA
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