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Basic understanding of cloud services (AWS, Azure, Google Cloud). Proficiency in programming languages such as Python (numpy, pandas, scikit-learn, TensorFlow, Matplotlib, Keras) or R (dplyr, ggplot2, caret, xgboost.
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Work with cloud-based services and APIs (e.g., AWS, Azure, Google Cloud) to deploy solutions at scale. Experience with cloud platforms (AWS, Azure, or Google Cloud) and code to production.
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Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and containerization. Expertise in programming languages such as Java, Python, C#, or similar, and proficiency in.
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Hadoop, S3, AWS, Google Cloud etc. Be comfortable navigating the following technology stack: S3, Kubernetes, KubeFlow, Spark, SQL, Impala, Scala, java, Python, scripting (Bash/Python) etc.
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Experience using tools in at least one cloud computing platform such as Amazon Web Services, Microsoft Azure, or Google Cloud Platform. Proficient with relational databases and programming languages, such as SQL, Python, scikit-learn, TensorFlow, and shell scripting.
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Knowledge of Cloud technologies (such as AWS, Azure, Google Cloud Platform) Knowledge of programming language(s) such as Python, SQL, Scala, Java, Ja va Script, C# or C. Familiarity with cloud platforms (AWS, Azure, or GCP) and basic cloud services, such as storage and compute resources.
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Hands-on experience with multiple cloud providers such as AWS, Azure, or Google Cloud Platform. Hands-on experience with infrastructure-as-code (IaC) tools (e.g., Terraform, CloudFormation) and automation/scripting languages (e.g., Python, PowerShell.
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Exposure to programming languages such as Python, Java, or Scala, with a focus on data processing libraries (e.g., Pandas, PySpark) Familiarity with ETL processes and tools, such as AWS Glue, Qlik, or SSIS.
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As a Senior Enterprise Cloud Architect at SADA, with a specialization in Software Engineering, your main responsibility is to lead a team of architects and engineers in designing, prototyping, developing, and deploying scalable software solutions for our customers on the Google Cloud Platform (GCP.
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Architect cloud infrastructure solutions like Kubernetes, Kubeflow, OpenStack, Ceph, Hadoop and Spark either On-Premises or in Public Cloud (AWS, Azure, Google Cloud) You have sound knowledge of cloud computing concepts & technologies, such as Kubernetes, Kubeflow, OpenStack, AWS, GCP, Azure, Ceph, etc.
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They are also software engineers who use Python to develop Kubernetes operators and Linux open source infrastructure-as-code. Help global companies embrace the latest private cloud infrastructure, Linux and cloud native operations, and open source applications.
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Experience with Big data technologies such as AWS EMR, Spark, Machine Learning (AWS SageMaker) and one or more cloud environments (AWS, Google and Azure) Experience with a modern Infrastructure as Code framework like Terraform, AWS Cloud Formation, AWS CDK, Pulumi, etc.
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Must-have skills: DevOPs, DevSecOPs roles, Cloud Service Providers (AWS, DevOps tools such as Git OR Jenkins OR Ansible OR Terraform), Infrastructure as Code (Terraform, Java OR Java Spring Boot OR Python OR C/C, APIs to query RESTful services, Python, Go, or Bash, Kubernetes, Docker, and Rancher, CI/CD, GitLab, SAST, DAST, IAST, MAST; Linux, Hashicorp.
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We are trusted by major food, drug, mass, and specialty retailers around the world, including Kroger, Meijer, and Woolworths, and we partner with leading hardware, AI, and cloud computing leaders including NVIDIA, NCR, Lenovo, Microsoft, Google and Dell.
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As a Forecast Operations Manager, you will play a pivotal role within the Google Cloud Strategy and Operations team, managing the forecast operations that inform critical business decisions and foster alignment across key stakeholders.
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google cloud python jobs in Hialeah, FL
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