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At least 3 years of experience in Cloud Native technologies (Amazon Web Services, Microsoft Azure, Google Cloud Platform) Utilize programming languages like Java, Python, SQL, Ruby and Go, Container Orchestration services including Docker and Kubernetes, CM tools including Ansible and Terraform, and a variety of AWS tools and services.
$2 - $11Full-timeExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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At least 4 years of experience with Cloud Native technologies (Amazon Web Services, Microsoft Azure, Google Cloud Platform) 6+ experience with coding and scripting (Python, SQL, Java, JavaScript, Golang, Bash, Perl or Ruby.
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Google Cloud Platform Services: DataFlow, BigQuery, Cloud Storage, DataProc, Airflow, Composer, Pub/Sub and Memorystore/Redis. Experience in performing ETL and data engineering work by leveraging multiple google cloud components using Dataflow, Data Proc, BigQuery.
Full-timeExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Data science tools/languages: R, R Studio, Python (data preparation and analysis libraries), Databricks, etc. AWS cloud services such as EC2, EMR, RDS, Redshift, Glue, SageMaker (or Azure and GCP equivalents.
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Use of deep understanding/experience in Cloud technologies (AWS, MS Azure, Google Cloud, IBM Cloud, Oracle cloud) to support customer· Extensive scripting knowledge and capabilities specifically related to PowerShell, Power-CLI, JavaScript, Python, Perl Scripts, and Bash Shell scripting.
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Experience with general DevOps tooling (Git, Atlassian Jira/Confluence, Azure DevOps, GitHub, Python, etc.) Perficient currently has a career opportunity for an Azure- DevOps Lead Engineer in in our Cloud and API Development Practice.
RemoteExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Expert in the use of Python to develop tools, APIs, and Web development (e.g., Flask). Experience with AWS and Azure Cloud platforms to include, server containerization technologies (e.g., Docker, AWS ECS, and Fargate.
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Experience with modern programming languages and frameworks including Python (FastAPI, Django, Flask), JavaScript (Node.js, Express, Vue, Svelte, React), and Java (Spring Boot)Experience developing data focused solutions to include experience designing and implementing OpenAPI compliant data schemas and REST APIs, implementing data persistence and query logic using Object Relational Mapping (ORM) libraries and SQL, and implementing data validation business rules.
$90,000 - $120,000 a yearFull-timeExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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Infrastructure Provisioning and Orchestration: Architect and deploy scalable infrastructure for ML workloads using cloud platforms (e.g., AWS, Azure, Google Cloud) and containerization technologies (e.g., Docker, Kubernetes.
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Gradle, Linux, SecDevOps, API, CloudWatch, Hibernete, Maven, SpringMVCC, Artifactory, CSS, HTML, Mongo, Swagger, AWS Suite, Eclipse, Java, Node.js, TomCat, Azure, ELK Stack, JavaScript, Powershell, Unix, Bash, GIT, Jenkins, Python, VMWare, Atlassian collaboration tools (Jira, Confluence, etc.
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At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud) Utilize programming languages like Java, Python, SQL, Node, Go, and Scala, Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of AWS tools and services.
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Optional but beneficial certifications include AWS Certified Solutions Architect, Microsoft Certified: Azure Solutions Architect Expert, or Google Cloud Professional Cloud Architect.
$82,100 - $172,400 a yearFull-timeExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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Conduct in-depth security assessments and audits of cloud environments, utilizing tools such as AWS Inspector, Azure Security Center, or Google Cloud Security Command Center. Expert-level proficiency in AWS, Azure, or Google Cloud Platform, substantiated by current associate, specialty, or professional cloud platform c ertifications.
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Sustained (e.g., at least 10 years), hands-on experience with: data modeling and data engineering, feature engineering, model lifecycle management, and cloud infrastructure; supervised and unsupervised deep learning algorithms.
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Net, C#, Power BI, Machine Learning, Azure Data Factory, RedShift, UiPath, Cloud, RPA, AWS, Redshift, Python, Data Modeling, SQL, SSIS, SSAS, SSRS, Power Automate, Power Platform, AI Builder, Power Apps, Blue Prism, Automation Anywhere, UiPath Studio, Orchestrator, ERP, QuickBooks, SAP, NetSuite, Oracle, API, JSON, XML, Web Services, SOAP, Postman, Fiddler, Integration, Custom Activities, DLL, Insight, Automation Hub, Task Capture.
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