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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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Conduct data management maturity assessments and identify pain points for including data quality, governance, architecture, analytics, metadata management, master data management. Must have experience in architecting and implementing data architecture, data engineering, reporting and analytical solutions across multiple business functions and domains.
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A career in our Cloud and Network Architecture practice, within Cloud Computing and Networking services, will provide you with the opportunity to focus on the joint business relationship between PwC and Google, HP, Microsoft, Oracle, SAP, and other cloud based platforms that bring new and innovative services to some of the largest companies.
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Designing and developing large-scale data solutions using GCP services like DataProc, Dataflow, Cloud Bigtable, BigQuery, Cloud SQL, Pub/Sub, Cloud Data Fusion, Cloud Composer, Cloud Functions, Cloud storage, Compute Engine, Looker, Cloud IAM, etc.
Full-timeExpandApply NowActive JobUpdated 2 months ago - UpvoteDownvoteShare Job
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Google Certified Cloud Architect, Google Certified Data Engineer, AWS Certified Solutions Architect, Azure Solutions Architect. Designing and implementing solutions across various Google Cloud Infrastructure and Hybrid Cloud services such as GCE, GKE, Cloud Run, Anthos, etc.
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5+ years of experience with Cloud Computing, FedRAMP, ISO, NIST and other industry leading security compliance frameworks. Bachelor's degree, or CCSP (Certified Cloud Security Professional) or CEH (Certified Ethical Hacker) or CFR (CyberSec First Responder) or Cloud+ or CySA+ (CompTIA Cybersecurity Analyst) or GCED (GIAC Certified Enterprise Defender) or GICSP (Global Industrial Cyber Security Professional) or PenTest.
$135,500 - $212,800 a yearFull-timeExpandApply NowActive JobUpdated 3 months ago - UpvoteDownvoteShare Job
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Fx, XLA and MLIR; - Large scale data processing and parallel computing; - Experiences in designing and operating large scale systems in cloud computing or machine learning; - Experiences in in-depth CUDA programming and performance tuning (cutlass, triton) Preferred Qualifications Graduating December 2024 onwards with the intent to return to degree program after the completion of the internship.
$57 a yearInternExpandApply NowActive JobUpdated 3 months ago - UpvoteDownvoteShare Job
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Google Cloud Professional Certification(s), such as Cloud Architect, Data Engineer, ML Engineer, DevOps Engineer, etc. (Google Cloud Platform, AWS, Azure); Implementing and designing AI/ML, including GenAI, solutions using Vertex AI, dialogflow, Cloud Vision, CCAI, etc.
Full-timeExpandApply NowActive JobUpdated 20 days ago - UpvoteDownvoteShare Job
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Client works with different industries like telecommunications, healthcare, banking, and retail to help them use new and exciting technologies like artificial intelligence, cloud computing, and the Internet of Things.
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The data center is the underpinning for every data-driven service, from artificial intelligence to 5G to high-performance computing, and DCG delivers the products and technologies—spanning software, processors, storage, I/O, and networking solutions—that fuel cloud, communications, enterprise, and government data centers around the world.
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Supermicro® is a Top Tier provider of advanced server, storage, and networking solutions for Data Center, Cloud Computing, Enterprise IT, Hadoop/ Big Data, Hyperscale, HPC and IoT/Embedded customers worldwide.
$137,000 - $180,000 a yearFull-timeExpandApply NowActive JobUpdated 3 months ago - UpvoteDownvoteShare Job
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The ideal candidate will have a deep understanding of cloud computing principles and practices As a Cloud Solution Engineer, you will be crucial in designing, implementing, and managing cutting-edge cloud-based solutions.
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The ideal candidate will have extensive experience in data architecture, cloud computing, and Snowflake platform capabilities. Experience with cloud computing concepts and cloud platforms such as AWS or Azure.
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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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Familiarity with The Open Group Architecture Framework (TOGAF), Open Web Application Security Project (OWASP), Open Security Architecture, National Institute of Standards and Technology (NIST) Cloud Computing Reference Architecture, or other architecture frameworks.
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