Azure Cloud and Data Engineer

Job Description

*Azure Cloud and Data Engineer OverviewWe are looking for 3-6 years experience in Azure based Cloud and Data Engineer for Deep learning solutions to engage with developers and researchers. We are gearing up our cloud transformation journey in areas of DevOps, Deep Learning, Data Ops, MLOps etc. This role encompasses on subject matter expertise on Azure based cloud solutions, use case identification, support solution proposal and support in architecture and design.Roles and responsibilities

• Support to Design cloud solutions that ensure most sustainable, flexible, secure and cost appropriate engineering IT solutions.
• Deliver an optimized infrastructure services design leveraging public, private, and hybrid Cloud architectures and services.
• Act as subject matter expert for the client as related to technical architecture aspects of infrastructure and Data services in cloud
• Helping end customers in running Deep learning workflows on cloud/Prem. Evangelizing customers on frameworks and improve adoption of the same.
• Expertise translating business requirements / problems into technical architectures utilizing Azure and complementary technologies
• Candidate will lead analysis, recommendations, and presentation of approaches to customers complex problems based on prior experience and researches
• Collaborate with Deep Learning Experts and Data Analytics experts, functional and technical teams to ensure Azure based solutions are appropriately architected, engineered, Validated & deployed
• Agile methodology in running the

Skills

• Proficiency in Azure IaaS and PaaS technologies and services: Azure VMs, Azure Storage, Azure DevOps(ADO) and tool sets, Vnets, Resource Manager, Azure SQL, Azure Backup, Traffic Manager, Cloud & App Services, Azure Active Directory

• Experience in conducting Azure PoCs, deployment and migration of various workloads to Azure services from traditional infrastructure or other Clouds

• Hand-on Apache airflow for DataOps related use cases.

• Microsoft Azure Services (Security Centre,Data lake, Data Factory, Data Bricks, Key Vault, Kubernetes Service, Dedicated HSM, Blob Storage, Backup, Functions, Virtual Machines, Service Fabric and Container Instances).

• Should have worked on cloud CI/CD stack. Knowledge on splunk, and working experience on JIRA/Confluence/GIT

• Knowledge on Configurations management with Ansible/Terraform.

• Prometheus and grapahan or other data ops monitoring
• Proficiency in Cloud security and management
• Strong experience in architect / design / deploy Azure IaaS and PaaS solutions based on a range of Azure technologies and services such as Compute, Data Services, App Services and Network Services etc.
• Proficiency in Windows operating system and storage technologies
• Microsoft Active Directory and MS SQL Server
• Scripting or programming using XML, JSON, PowerShell/VBScript/.net/Python

QualificationB. Tech or M. Tech in EE/Software Engineering/ Mechanical Engineering Equivalent from reputed institute, *Azure Cloud and Data Engineer OverviewWe are looking for 3-6 years experience in Azure based Cloud and Data Engineer for Deep learning solutions to engage with developers and researchers. We are gearing up our cloud transformation journey in areas of DevOps, Deep Learning, Data Ops, MLOps etc. This role encompasses on subject matter expertise on Azure based cloud solutions, use case identification, support solution proposal and support in architecture and design.Roles and responsibilities

• Support to Design cloud solutions that ensure most sustainable, flexible, secure and cost appropriate engineering IT solutions.
• Deliver an optimized infrastructure services design leveraging public, private, and hybrid Cloud architectures and services.
• Act as subject matter expert for the client as related to technical architecture aspects of infrastructure and Data services in cloud
• Helping end customers in running Deep learning workflows on cloud/Prem. Evangelizing customers on frameworks and improve adoption of the same.
• Expertise translating business requirements / problems into technical architectures utilizing Azure and complementary technologies
• Candidate will lead analysis, recommendations, and presentation of approaches to customers complex problems based on prior experience and researches
• Collaborate with Deep Learning Experts and Data Analytics experts, functional and technical teams to ensure Azure based solutions are appropriately architected, engineered, Validated & deployed
• Agile methodology in running the

Skills

• Proficiency in Azure IaaS and PaaS technologies and services: Azure VMs, Azure Storage, Azure DevOps(ADO) and tool sets, Vnets, Resource Manager, Azure SQL, Azure Backup, Traffic Manager, Cloud & App Services, Azure Active Directory

• Experience in conducting Azure PoCs, deployment and migration of various workloads to Azure services from traditional infrastructure or other Clouds

• Hand-on Apache airflow for DataOps related use cases.

• Microsoft Azure Services (Security Centre,Data lake, Data Factory, Data Bricks, Key Vault, Kubernetes Service, Dedicated HSM, Blob Storage, Backup, Functions, Virtual Machines, Service Fabric and Container Instances).

• Should have worked on cloud CI/CD stack. Knowledge on splunk, and working experience on JIRA/Confluence/GIT

• Knowledge on Configurations management with Ansible/Terraform.

• Prometheus and grapahan or other data ops monitoring
• Proficiency in Cloud security and management
• Strong experience in architect / design / deploy Azure IaaS and PaaS solutions based on a range of Azure technologies and services such as Compute, Data Services, App Services and Network Services etc.
• Proficiency in Windows operating system and storage technologies
• Microsoft Active Directory and MS SQL Server
• Scripting or programming using XML, JSON, PowerShell/VBScript/.net/Python

QualificationB. Tech or M. Tech in EE/Software Engineering/ Mechanical Engineering Equivalent from reputed institute

Keyskills :
sqljavadata warehousinginformaticapythonms sql serversubject matter expertisems sqluse casesql serverdata servicesdeep learningdata analyticsactive directory