Consultant (Multiple Positions Available)

Atos•Irving, SD

19h•Remote

About The Position

Eviden is an Atos Group business with an annual revenue of circa € 5 billion and a global leader in data-driven, trusted and sustainable digital transformation. As a next generation digital business with worldwide leading positions in digital, cloud, data, advanced computing and security, it brings deep expertise for all industries in more than 47 countries. By uniting unique high-end technologies across the full digital continuum with 55,000 world-class talents, Eviden expands the possibilities of data and technology, now and for generations to come. Consultant (Multiple Positions Available) Reports to company headquarters in Irving, TX. Perform migration strategy planning of Microsoft SQL databases with spearheading design, development, and implementation of IT Cloud solutions on Azure cloud. Utilize Azure Cloud Services to create and manage Azure Resource groups and Azure Elastic Pools. Perform Azure Synapsys migration from OnPremise data warehouse along with SSIS packages. Configure the complete Azure data analytics solution and Enterprise data warehouse solution on Azure cloud. Work with the development team to deploy Azure and Azure cloud infrastructure engineering. Develop deployment automation to provide a fully functional cloud stack in Azure that supports the clients’ environment. Build, migrate, and test Azure environments and integrations, setup multi-level network environments using Azure cloud. Conduct Integration with OnPremise applications, cloud providers, or other platforms. Develop templates or scripts to automate everyday developer or operations functions. Monitor and maintain multiple Cloud DevOps environments based on client requirements, utilizing expertise in DevOps methodologies and practices to build a better Cloud development environment. Build new automation to expand and maintain Cloud hosting. Assist the IT and development teams with Cloud management tasks. Work on Azure Data Factory, Azure Data Lake, and Azure Blob storage and data bricks utilizing understanding of Snowflakes, Synapse, and login app. Work on Azure Networking, ARM, Resource Groups, Azure Site Recovery, Azure Back Up, Storage, and Azure Serverless. Develop machine learning applications according to requirements, select appropriate datasets and data representation methods. Run machine learning tests and experiments, perform statistical analysis and fine-tuning using test results. Setup a new database environment with Azure and manage databases and virtual machines (Azure VMs) as well as Azure SQL manage instance. May be assigned to and provide products/ support to specific industry groups such as Retail & Logistics, Automotive, Banking and Finance, Healthcare, Insurance, and Information Technology.

Requirements

Bachelor’s degree in Computer Science, Information Technology, Engineering (any), or related.
Five (5) years in any occupation with IT experience, or related.
Five (5) years in any occupation with IT experience or related must include: Azure Cloud Architecture; MS SQL (Microsoft Structured Query Language); SQL Database Server; SQL Server Integration Services (SSIS); and SQL Server Reporting Services (SSRS).

Responsibilities

Perform migration strategy planning of Microsoft SQL databases with spearheading design, development, and implementation of IT Cloud solutions on Azure cloud.
Utilize Azure Cloud Services to create and manage Azure Resource groups and Azure Elastic Pools.
Perform Azure Synapsys migration from OnPremise data warehouse along with SSIS packages.
Configure the complete Azure data analytics solution and Enterprise data warehouse solution on Azure cloud.
Work with the development team to deploy Azure and Azure cloud infrastructure engineering.
Develop deployment automation to provide a fully functional cloud stack in Azure that supports the clients’ environment.
Build, migrate, and test Azure environments and integrations, setup multi-level network environments using Azure cloud.
Conduct Integration with OnPremise applications, cloud providers, or other platforms.
Develop templates or scripts to automate everyday developer or operations functions.
Monitor and maintain multiple Cloud DevOps environments based on client requirements, utilizing expertise in DevOps methodologies and practices to build a better Cloud development environment.
Build new automation to expand and maintain Cloud hosting.
Assist the IT and development teams with Cloud management tasks.
Work on Azure Data Factory, Azure Data Lake, and Azure Blob storage and data bricks utilizing understanding of Snowflakes, Synapse, and login app.
Work on Azure Networking, ARM, Resource Groups, Azure Site Recovery, Azure Back Up, Storage, and Azure Serverless.
Develop machine learning applications according to requirements, select appropriate datasets and data representation methods.
Run machine learning tests and experiments, perform statistical analysis and fine-tuning using test results.
Setup a new database environment with Azure and manage databases and virtual machines (Azure VMs) as well as Azure SQL manage instance.
May be assigned to and provide products/ support to specific industry groups such as Retail & Logistics, Automotive, Banking and Finance, Healthcare, Insurance, and Information Technology.