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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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Automate data platform deployment and configuration using Terraform, ARM templates and Azure DevOps. Automate data platform deployment and configuration using Terraform, ARM templates, and Azure DevOps.
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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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3+ years of experience with Microsoft Azure or Google Cloud Platform. Utilize programming languages like JavaScript, Java, TypeScript, SQL, Python, and Go, Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of Azure or GCP tools and services.
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Experience working with services on the cloud platforms (AWS/Azure/Databricks/Snowflake/GCP) and containers (Docker/Kubernetes). Design, develop, test, and deploy cloud-based data science products used in the energy storage industry.
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Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform, and services like AWS Glue, Azure Data Factory, or Google Dataflow. Expertise in data storage technologies such as relational databases (e.g., PostgreSQL, MySQL), NoSQL databases (e.g., MongoDB, Cassandra), data warehouses (e.g., Snowflake, Redshift), and data lakes (e.g., Amazon S3, Azure Data Lake Storage.
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Your expertise in Python, shell scripts, SageMaker, IaaC (Ansible, Terraform), CI tools, Docker, Kubernetes and similar tools will drive efficiency and performance. Skilled with Python, Git, shell scripts, terminal (grep, sed, awk), Ansible, Docker, and Terraform.
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Design, implement, and maintain highly available large-scale cloud based production database infrastructure for the Cornell Lab of Ornithology (CLO). Experience with Infrastructure as Code and with Terraform or similar IaC tooling.
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EInfochips has strategic technology partnerships with Qualcomm, NVIDIA, NXP, Analog Devices,Texas Instruments, Amazon, Microsoft and Google to name a few. eInfochips acts as a catalyst to Arrow’s Sensorto-Sunset initiative and offers complete edge-to-cloud capabilities for its clients.
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1+ years of experience with AWS, GCP, Microsoft Azure, or another cloud service. Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment.
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BairesDev is an award-winning software outsourcing company trusted by 500+ clients, including Google, Pinterest, Adobe, Rolls-Royce, and more. Company Description About the CompanyBairesDev is an award-winning software outsourcing company trusted by 500+ clients, including Google, Pinterest, Adobe, Rolls-Royce, and more.
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IT Infrastructure & Operations, Software Development, Cloud Services, Data Processing & Hosting, Legal Services, Document Review, Consulting & Project Management, Logistics & Strategy, Training & Support, and Staffing.
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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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Familiarity with SEO tools, including Google Adwords and Keyword Planner, Google Analytics, Google Webmaster Tools, Google Search Console, Semrush, and Buzzsumo. Familiarity with software including Adobe Photoshop, Adobe Illustrator, Adobe Premiere Pro, Adobe Lightroom, Adobe InDesign, Adobe After Effects, Adobe XD, Sketch, and Principle.
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Cloud Native: Hands-on experience utilizing cloud platforms (AWS, Azure, GCP) for data processing, storage, and orchestration, optimizing for performance and cost. Utilize cloud technologies effectively for data pipeline orchestration, processing, and storage, optimizing for both performance and cost-efficiency.
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