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3+ Years of experience in Cloud based Cyber Security, preferable Google Cloud. Develop, document, and implement triage processes for both on-premises and Google Cloud.
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Deep understanding of cloud platforms (AWS, Google Cloud, Azure) and big data technologies (Apache Spark, Kafka). Expertise in programming languages such as Python, JavaScript, and familiarity with frameworks like React or Angular.
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Knowledge and/or experience with virtualization technologies such as Docker, VMWare, VirtualBox and Google Cloud Virtual Machines. Programming/Scripting Languages: Python, Java, Powershell, Bash and Batch scripting.
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Experience developing applications on the Google Cloud Platform suite of products and services. Expertise in Java and React or NodeJS, with experience in one of the following: Javascript, Python or Typescript.
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Travailler de manière interfonctionnelle pour influencer la stratégie de Google Cloud et la direction du produit au croisement de l'infrastructure et de l'IA/AA en défendant les besoins de la clientèle d'entreprise.
Full-timeExpandUpdated 3 months ago - UpvoteDownvoteShare Job
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At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud) 10+ years of experience in software engineering in one or more of the following: GoLang, Java, Python, React, Rust, or C.
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Familiarity with cloud computing services (Azure, AWS, Google Cloud) + Basic programming skills (VBA, Python, R, JavaScript) Familiarity with cloud computing services (Azure, AWS, Google Cloud.
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Utilizes technical knowledge of existing and emerging technologies, including public cloud offerings from Amazon Web Services, Microsoft Azure, and Google Cloud. Proficiency in Python, Pytorch, Tensorflow, TinyML, Pandas and Numpy.
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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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Job DescriptionLocated in Canada we're seeking a skilled AI/ML Engineer to develop robust data pipelines on our Google Cloud Data Platform. You'll design, optimize, and deploy solutions to support scientific discovery, using languages like Java, Scala, and Python.
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Technical environment: Google Cloud Platform, Data Engineering, Big data Architecture, Multi Touch Attribution, Digital Marketing, SQL, PL SQL, Python, Identity resolution, Apache Spark, Apache Airflow, Hadoop, Hive, Adobe Marketing Cloud (Omniture) and Google Analytics, AWS, ETL, Marketing Analytics, Data Integration.
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Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and containerization technologies (e.g., Docker, Kubernetes). Expertise in machine learning algorithms, deep learning frameworks (e.g., TensorFlow, PyTorch), and programming languages (e.g., Python, Java.
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3+ years of experience with AWS, Google Cloud Platform, Microsoft Azure, or another cloud service. Utilize programming languages like JavaScript, Java, HTML/CSS, TypeScript, SQL, Python, and Go, Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of AWS tools and services.
Part-timeExpandUpdated 19 days ago - UpvoteDownvoteShare Job
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3+ years of experience with AWS, GCP, Microsoft Azure, or another cloud service. 9+ years of experience in at least one of the following: JavaScript, Java, TypeScript, SQL, Python, or Go.
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Experience with cloud environments such as AWS, Azure or GCloud. Senior Data Scientist at the University of Chicago, IL, USA Senior Data Scientist at the University of Chicago. Senior Data Scientist at the University of Chicago, IL, USA.
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