Azure Cloud Architect

Tek Mahindra

NA

13th Oct

Philadelphia, Pennsylvania

Primary Skills : Power BI, R, Python, Security in Azure cloud, Data catalog.

Secondary Skills : Spark/DataBricks, Data Streaming, Data Factory, Analysis Services.

No. of Positions : 1

Job Description

JOB DESCRIPTION:

  • Should have designed and architected large-scale enterprise solutions using Microsoft technologies. 
  • Strong analytical and learning skills, adopting technology, language, framework and tool will be part of day to day activity. 
  • Strong expertise in Azure cloud services including Worker Role, App Services, Web Jobs, Scheduler, Service Bus, Logic Apps and Event Hub. 
  • Extensive experience developing highly available and highly scalable solutions. 
  • Big data expertise with 3-4 years of architectural experience 
  • Hands on experience with solutioning skills in Spark/DataBricks, Data Streaming, Data Factory, Analysis Services, Power BI, R, Python, Security in Azure cloud, Data catalog 
  • Experience in implementing enterprise level data lake 
  • Experience in ingestion of enterprise & third party data into Azure cloud 
  • Experience in Data governance, Curation, presentation
  • Strong Proficiency in all the services offered by Microsoft Azure including IaaS, PaaS and SaaS
Job Description

JOB DESCRIPTION:

  • Should have designed and architected large-scale enterprise solutions using Microsoft technologies. 
  • Strong analytical and learning skills, adopting technology, language, framework and tool will be part of day to day activity. 
  • Strong expertise in Azure cloud services including Worker Role, App Services, Web Jobs, Scheduler, Service Bus, Logic Apps and Event Hub. 
  • Extensive experience developing highly available and highly scalable solutions. 
  • Big data expertise with 3-4 years of architectural experience 
  • Hands on experience with solutioning skills in Spark/DataBricks, Data Streaming, Data Factory, Analysis Services, Power BI, R, Python, Security in Azure cloud, Data catalog 
  • Experience in implementing enterprise level data lake 
  • Experience in ingestion of enterprise & third party data into Azure cloud 
  • Experience in Data governance, Curation, presentation
  • Strong Proficiency in all the services offered by Microsoft Azure including IaaS, PaaS and SaaS

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