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Expert in analyzing large, complex, multi-dimensional datasets with data querying languages (e.g. SQL), cloud platforms (AWS, Azure, or Google Cloud Platform), BI Tools (MicroStrategy, PowerBI, Tableau, etc.
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Our cutting-edge technology partners include Oracle NetSuite, Stripe, Google Cloud Platform, Zone Billing, Celigo, and Boomi all working with us to provide the best customer experience throughout each implementation.
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Familiarity with cloud computing services (Azure, AWS, Google Cloud) Familiarity with cloud computing services (Azure, AWS, Google Cloud) Basic programming skills (VBA, Python, R, JavaScript.
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Experience with cloud based data services offered by Azure, AWS and Google. Data migrations and conversions to the cloud and to cloud data warehouse services. Data Engineers analyze and develop on-premises and/or cloud data and ETL solutions to solve the clients challenges.
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In this role, you will develop modern data pipelines to meet key business objectives on Google Cloud Platform (GCP). Backed by funds managed by Apollo Global Management, our vision is to accelerate the upgrade of copper to fiber optic technologies, bringing faster and more reliable internet service to many rural markets traditionally underserved by broadband providers, while delivering best-in-class customer experience.
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Experience with GraphQL and Google Cloud a plus. 5 to 8+ years of professional experience in at least one dynamic server-side language: TypeScript, Scala, Java, or similar. Intuit Credit Karma is a mission-driven company, focused on championing financial progress for our more than 130 million members globally.
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Build and maintain manufacturing databases in Google Cloud Platform BigQuery. Experience with Google BigQuery SQL and database creation. Build and maintain manufacturing databases in Google Cloud Platform BigQuery.
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Strong Networking Fundamentals along with Converged Infra (CI)/Hyper Converged Infa (HCI) Management Certification along with hands-on experience with Amazon Kubernetes Service (AKS), Amazon EKS, Google Kubernetes Engine (GKE), Rancher.
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General understanding of AWS, Azure, and/or Google Cloud. The Security Analyst will work on activities such as incident response, logging/monitoring support, application security, configuration reviews, and configuration and maintenance of various security controls, both on premise and on cloud infrastructure.
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Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) for deploying and scaling AI systems. Experience in cloud-based Conversational AI and on-prem building experience is key for this role.
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Working knowledge of building high resiliency grid/cloud computing infrastructure supporting AIML and NLP workloads. Responsible for AI model delivery to on-prem infrastructure and cloud platforms (GCP-Vertex AI, Azure Client.
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Leverage cloud platforms (e.g., AWS, Azure, Google Cloud/BQ, Databricks) for scalable and efficient data processing and storage. The candidate should have expertise in data modeling, SQL, Python, R, data warehousing, big data technologies, data pipeline construction, data quality, cleansing, version control, cloud services, machine learning, feature engineering, deep learning, and natural language processing.
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Building solution using elastic architectures (preferably Microsoft Azure and Google Cloud Platform) knowledge in a minimum of two of the following technical disciplines: infrastructure and network design, application development, application programming interfaces (APIs), cloud, middleware, servers and storage, database management, and operations.
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Familiarity with analytics platforms such as Adobe Analytics or Google Analytics. Knowledge of cloud services and their application in data science. Solid understanding of machine learning, deep learning, and natural language processing.
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Experience with cloud technologies such as Pivotal Cloud Foundry (PCF), Amazon Web Services, Microsoft Azure, or Google Cloud. Experience managing applications in a cloud environment (Azure, Google, Amazon Web Services.
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