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Hands on development in Python, PL/SQL, SQL, Shell Scripting, AutoSys. Hands on experience working in cloud data platforms such as AWS Redshift, Spark based data engineering solutions.
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2 or more professional certifications (SAFe PM/PO, CISSP, GIAC, CISM, CCSP, AWS Cloud Practitioner, AWS Security) 5+ years of experience working with cloud based or on-prem network security products (WAF, DDoS Mitigation, IPS/IDS, NGFW, VPN, or Proxy.
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Oversee the architectural design, development, and deployment of scalable, reliable, and secure multi-tenant SaaS solutions on Azure/AWS, setting high standards for technical excellence. Proven expertise in Azure/AWS cloud services and cloud-native architecture, with a strong ability to guide and mentor teams in leveraging these technologies.
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Own the responsibility for optimizing and providing hands-on technical expertise to deploy Cloud services. Scripting/coding experience of continuous delivery (CD) GitOps practice with tools such as ArgoCD, Jenkins, CircleCI, or Spinnaker in deploying and maintaining services in AWS, Azure, or GCP cloud.
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Experience writing script languages in Groovy, Python, PowerShell, Golang, MSBuild, Terraform, ARM Templates, or BicepExtensive hands-on to integrating Maven, Gradle, package managers like NPM and JSPM, build tools to application builds and troubleshooting build issues.
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Cloud Migration: Spearhead the migration of on-premise workloads to Azure, focusing on data analytics and the setup of Azure Data Fabric. Hands-on experience with Epic, Health Catalyst, and other healthcare data systems.
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3+ years hands-on experience in working with Cloud technologies AWS (S3, EC2, Lambda, CFT) Hands-on experience with IDEs & tools – Eclipse, SQL Developer, Postman, SOAPUI.
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Familiarity with cloud solutions and virtualization technologies (e.g., Azure, AWS, VMware) is a plus. Ability to thrive in a start-up or dynamic environment , with a hands-on approach to problem-solving.
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Preferred Qualifications:If you have the following characteristics, it would be a plus:Developing and deploying applications in a cloud environment like Google Cloud (preferred), AWS, AzureExperience in an open-source web framework preferably implemented in JS, TypeScript, Python, Java, Scala, or similar.
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Experience and understanding of large-scale application portfolios in enterprise-wide environments (including migration of on-premise workloads to the cloud). Additionally, they focus on bringing financial accountability to the variable spend model of cloud, drive consumption-based billing, enabling distributed teams to make business trade-offs between speed, cost, and quality.
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Experience with cloud computing (AWS, Microsoft Azure, Google Cloud) 3+ years of experience with AWS, GCP, Azure, or another cloud service. Experience working with cloud data solutions (Delta Lake, Iceberg, Hudi, Snowflake, Redshift or equivalent.
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Other QualificationsFamiliarity with AWS IAM to develop secure solutions, specifically with resource access policies and IAM rolesFamiliarity with AWS infrastructure as code solutions, such as CDK or Cloud FormationExperience in the AEC industry, Autodesk products such as Revit, and AEC data schemas and standardsExperience with cloud-native capabilities, including data at scale, edge computing, and AI-based solutions.
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Minimum 4 to 5 years of experience designing and implementing cloud solutions (AWS, Azure, or GCP). Description We are currently hiring a hands-on Gen AI, AI and ML Ops Engineering Lead within Data Digital and Technology (DD&T) function which is a part of Oncology Business Unit at Takeda and the Data Management Team. This is an individual contributor role, so you should be prepared to roll up your sleeves and flex a wide variety of skills.
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About you 10 or more years experience in virtualization technologies including VMWare and Microsoft; Azure Virtual Desktop, Windows as a Service, cloud platforms such as Azure, AWS or Google; device and desktop management best practices.
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At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud) 4+ years of experience with AWS, GCP, Microsoft Azure, or another cloud service.
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hands on aws cloud jobs Company: Usaa in Cambridge, MA
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