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This architecture includes Databricks, Microsoft Azure platform tools (including Data Lake, Synapse) and data pipeline/ETL development tools (including Streamsets, Azure Data Factory). Experience implementing modern Big Data storage and analytics platforms such as Databricks and Data Lakes.
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At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud) Our cutting edge system is built using modern tech stack (Java, Go, Angular, Vue) and deployed in the Cloud (AWS) as a platform to meet Enterprise needs.
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Bonus points for candidates who are well versed in IaC and have working experience with Terraform HCL directives and modular interpolations and/or Azure Resource Manager ARM/Bicep/DevOps Pipelines and/or obtained Microsoft Azure Certifications in Administration, Development and/or Azure DevOps. #clearance #clearedEEO EmployerApex Systems is an equal opportunity employer.
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In-depth experience with cloud platforms, specifically Azure, AWS, and Google Cloud Platform (GCP), including deploying and managing front-end applications. As a pivotal member of our team, you will serve as a modern applications solution architect, creating impressive interfaces for Lovelytics Gen AI tools and IP development.
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Our client, a leading US based healthcare company is looking for a Senior Kubernetes SME, you will play a significant part in leading the rearchitecting efforts of the existing monolithic system to a Azure cloud-native architecture, leveraging modern cloud technologies and best practices.
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Advanced knowledge working with public cloud providers (AWS, Azure, or GCP) and modern cloud monitoring system observability frameworks (e.g., Datadog). You will be part of a highly technical, collaborative and creative team, with a focus on SRE & Software Engineering.
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Utilize programming languages like JavaScript, TypeScript, Swift, Objective C, Kotlin, Java, C#, Dart, Python, SQL, and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of Azure tools and services.
$261,500Full-timeRemoteExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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The Data Engineer participates in the design and build of modern data products that comprise of raw data stores (data lakes) and cleansed data repositories, populated by batch or streaming data pipelines.
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Knowledge of cloud computing technologies such as: Apache Spark, Azure Data Factory, Azure DevOps, Azure ML (Machine Learning), Hadoop, Microsoft Azure, Databricks, AWS, Google Cloud.
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Experience with modern Cloud computing te chn ologies, including AWS or Azure. AWS, Google Cloud, or Micro sof t Azure Certification. AI Strategy and Adoption Specialist. Prosci Change Management Certification.
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Cloud computing experience preferred (MS Azure and ServiceNow) We use modern design and project management tools such as design thinking, rapid prototyping, and agile development to build and customize solutions that are fun to use and effective at meeting their goals.
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Fluency in DevOps Concepts, Cloud Architecture and Azure DevOps Operational Framework. Fluency and specialization with modern languages such as Java, Golang including object-oriented design.
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Experience with deploying active AWS or Azure services using Infrastructure-as-Code technologies, including CloudFormation or Terraform. As a lead DevOps infrastructure engineer at Booz Allen, you'll oversee a team of cloud architects and engineers as they manage server configuration for modern cloud solutions.
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Relevant certifications such as Microsoft Certified: Azure Administrator, Microsoft 365 Certified: Modern Desktop Administrator, or similar are a plus. Strong knowledge of Azure, Microsoft Entra ID/AD, Office 365, and related technologies.
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You will assist clients in choosing a platform, defining their data needs and migrating them to a modern cloud data environment using cloud providers such as Azure, Google Cloud Platform, Amazon Web Services, Snowflake, Databricks or Teradata.
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