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Strong Expertise in Cloud Platforms such as GCP (Preferred), Azure, AWS, Databricks. Develop custom Python Web Applications using CloudRun (e.g., Dash, Streamlit, PySpark, and Flask) to process the very large datasets flowing from connected vehicles on the Google Cloud Platform (GCP) in to Big Query (BQ) or Google Cloud Storage (GCS) and present tools to Driver Assistance Engineers.
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Or relevant industry certification such as Microsoft Certified Solutions Developer (MCSD), AWS (Amazon Web Services) or GCP (Google Cloud Platform) AWS Certified Solutions Architect.
$330,590 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Knowledge, Skills & Abilities Experience designing, implementing, and supporting applications in Amazon Web Services (AWS) cloud, including traditional server applications and serverless services such as AWS Lambda, AWS Fargate, AWS SQS, and Amazon API Gateway.
$175,000RemoteExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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5+ years of hands-on experience in a major cloud provider (Azure, AWS, Google, Oracle) AWS DevOps Engineer Professional AWS SysOps Admin - Associate AWS Solutions Architect - Associate or Professional AWS Developer - Associate #techjobs EEO Statement Active military service members, their spouses, and veteran candidates often embody the core competencies Maximus deems essential, and bring a resiliency and dependability that greatly enhances our workforce.
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Expertise in ETL / ELT tools DataStage and other tools like Dbt Cloud or AWS Glue. The individual must possess strong query writing skills, expertise in ETL tools, like DataStage, Dbt Cloud or any other cloud based ETL tools.
$150,000 a yearFull-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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Experience developing enterprise wide solutions and strategic roadmaps (current and target/future state) for broad spectrum of technical areas such as SAP, Elastic, Splunk, Jenkins, webMethods, AWS and Azure Cloud and others.
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Strong understanding of cloud computing and hands-on experience of migrating/operating workloads in AWS, Azure and GCP. This role requires 3+ years hands-on experience in implementing and/or maintaining highly complex cloud environments in one or more of the cloud platforms - GCP, Azure and AWS.
$182,000 a yearFull-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Experience in designing and engineering highly-available public cloud services (Azure, GCP and AWS) The Digital Product Engineering systems include many customer-facing and back-office services required to deliver subscription-based and eCommerce services with this role focused on building a platform for supporting these experiences in a multi-cloud ecosystem.
$285,300 a yearFull-timeExpandApply NowActive JobUpdated 13 days ago - UpvoteDownvoteShare Job
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Job tools: Jenkins, IBM Rational Clearcase Explorer, Active Control, IBM WebSphere, IBM DataPower, Git, AWS The S3 Difference: The global mission of S3 is to build trusting relationships and deliver solutions that positively impact our customers, our consultants, and our communities.
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Cloud experience - preferably Azure/AWS security experience, GCIA, GCIH, or other GIAC certifications, at least one certification needed; Experience securing multi-cloud environments, FaaS and CI/CD pipelines.
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Experience with cloud platforms like AWS, Azure, or GCP. Design, develop, and maintain microservices using Node.js, Typescript, and PostgreSQL. Experience with cloud platforms like AWS, Azure, or GCP.
$54 - $67 an hourExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Skill sets: AWS cloud CI/CD pipelines, Scripting, Worked in Agile. Experience on AWS cloud with excellent expertise in Coding. Expertise in using AWS CloudFormation or Terraform to define and manage infrastructure as code, ensuring consistent and reliable environment provisioning.
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Experience with cloud infrastructure technologies such as: Kubernetes, Docker, AWS, Azure, GKE, or GCP. Leverage and recommend cloud technologies that result in fast provisioning and appropriate reliability.
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Certification in cloud computing (e.g., AWS Certified Machine Learning Specialty, Google Professional Machine Learning Engineer) is a plus. AWS or Google Cloud Platform experience is also fine.
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Using Microsoft O365, Azure, Microsoft Purview Info Protection, Microsoft Defender, SQL Server, PostgreSQL, Oracle, MySQL, Snowflake, Amazon RDS, Stardog, SmartLogic, Power BI, Tableau, QlikView, AWS QuickSight, BigID, OneTrust, Securiti.ai.
$48 an hourFull-timeExpandApply NowActive JobUpdated 9 days ago
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