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Proficiency with leading cloud data platforms (Azure, GCP, AWS, Snowflake) and related data services. Lead the design and architecture of the cloud-based BI and Analytics Lakehouse platform using Azure Databricks, DBT and other modern data warehousing technologies.
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We are looking for candidates with a minimum of 5 years:Experience with Java, JavascriptExperience with AWS cloud development and AWS technologies such as: S3, AWS Glue, Lambda, step functions, Athena, SQS, SNS, TerraformExperience or an understanding of API development technologies; REST, JSON, Swagger, SOAP, XML, WSDLExperience with.
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Certification: At least one of the following certifications: AIX certifications; AWS Certified DevOps Engineer; Red Hat. Years of experience: 6 - 12 years experience with Linux Architect /System Management/Automation in a Client and/or cloud environment.
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AWS: Cloud Practitioner, Security Specialty, Solutions Architect. Three years experience with automation, including coding and scripting against cloud-relevant technologies such as the AWS control plane, Azure Active Directory (AAD), Kubernetes, and other API-enabled security technologies.
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Experienced in integrating Salesforce Marketing Cloud with other applications such as AWS, Snowflake, AEM and Pega. As a senior Salesforce Data Cloud Engineer, you will work closely with the Marketing Stakeholders to design, develop, and implement marketing automation solutions that meet their business objectives.
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We are seeking an experienced Salesforce Data Cloud Engineer to join our Marketing Application Engineering team. What are we looking for in our Senior Salesforce Data Cloud Engineer.
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5+ years experience with public cloud platforms & systems (AWS, GCP, Azure). 7+ years experience as ML engineer or lead data scientist in a Big Data ecosystem, with a desire to assume greater responsibilities as a leader and mentor, while still being hands-on.
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Familiarity with cloud platforms, preferably AWS, and their machine learning services. Proven experience as a Machine Learning Engineer or in a similar role. Strong expertise in machine learning frameworks (e.g., TensorFlow, PyTorch) and programming languages (e.g., Python, R.
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Designs and develops highly scalable applications in AWS cloud using tools like Cloud Formation Templates, EC2, SWF, ELB, Lambda, S3, RDS/Dynamo DB and others. Principal Software Engineer.
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Experience with virtualization technologies (VMware, Hyper-V) and cloud platforms (Azure, AWS) is preferred. It would be great if you also had:Industry certifications such as MCSE, MCSA, or equivalent is desirable.
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Experience in deploying to a cloud platform (Kubernetes, PCF, GCP, Azure, AWS, etc.) Our client’s IT Department is seeking a Senior Full Stack Engineer for a hybrid-onsite position, contract to hire.
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Knowledge of cloud computing concepts & leaders, such as Kubernetes, AWS, Azure, GCP. Deliver solutions either on-premise or in public cloud (AWS, Azure, Google Cloud.
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Zure Cloud Engineer. Working knowledge of PaaS product offerings in large-scale enterprise environments that have a blend of older (legacy) technologies and nextgen practices, with a focus on building extensions and customizations on produ cts such as AWS, GCP, Azure, etc.
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Extensive experience and advanced knowledge with one or more hyperscale cloud providers - GCP, Azure, AWS & OCI. Cloud Certifications (Azure, AWS,GCP, OCI) a plus. Experience coding with Cloud APIs and SDKs (preferably in python.
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Performing the daily duties of Azure & AWS deployments, configuration tuning, troubleshooting, scripting, cost analysis and maintenance. Deploying, configuring, integrating and managing private and public cloud platforms (MS Azure & A WS.
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aws cloud engineer jobs in Phoenix, AZ
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