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Remote - Lead Cloud Engineer (Azure)
Remote, Work from Home
Remote
Work from Home
00000
Date
: Aug-31-20
2020-08-31
2020-09-30
Remote - Lead Cloud Engineer (Azure)
Remote, Work from Home
Aug-31-20
Work Authorization
US Citizen
GC
H1B
GC EAD
Preferred Employment
Corp-Corp
W2-Permanent
W2-Contract
1099-Contract
Contract to Hire
Job Details
Experience
:
Senior
Rate/Salary ($)
:
Market
Duration
:
6 Months
Sp. Area
:
Cloud, Salesforce, SaaS
Sp. Skills
:
Windows Azure
Consulting / Contract
CONTRACTOR
Certification Preferred
Direct Client Requirement
Remote Work from Home
Required Skills
:
Data Scientist, Windows Azure, DevOps, Machine learning, Big Data, Data Warehousing, ETL, Python, Salesforce.com, Shell Script, SQL
Preferred Skills
:
Domain
:
IT/Software, HealthCare
Work Authorization
US Citizen
GC
GC EAD
H1B
Preferred Employment
Corp-Corp
W2-Permanent
W2-Contract
1099-Contract
Contract to Hire
Job Details
Experience
:
Senior
Rate/Salary ($)
:
Market
Duration
:
6 Months
Sp. Area
:
Cloud, Salesforce, SaaS
Sp. Skills
:
Windows Azure
Consulting / Contract
CONTRACTOR
Certification Preferred
Direct Client Requirement
Remote Work from Home
Required Skills
:
Data Scientist, Windows Azure, DevOps, Machine learning, Big Data, Data Warehousing, ETL, Python, Salesforce.com, Shell Script, SQL
Preferred Skills
:
Domain
:
IT/Software, HealthCare
youngsoft
Wixom, MI
Post Resume to
View Contact Details &
Apply for Job
Job Description
:
You can Direct Apply here:
https://youngsoft. secure. force. com/apex/NrichForm?templateId=a1F3n000003Kaqz&jo bid=a0t3n00000CNWNR&sourcetype=TechFetch
Job Description:
Required Skills and Competencies
Ability to administer and manage resources and identities in Azure cloud platform
Ability in dev ops engineering for cloud resources and data science applications
Ability to set up and troubleshoot data science development toolkits such as Git, Airflow, Docker and PyCharm
Proficiency in the following languages: Python, Shell Scripting, SQL and Spark
Familiarity with data architecture, engineering, and governance concepts
Familiarity with machine learning concepts
Qualifications – Required
7+ years designing and administrating cloud infrastructure (Azure required)
5+ years providing dev ops support for cloud platforms and data science applications
Qualifications – Preferred
Experience in building big data pipelines using Spark
Experience in ETL development, data warehousing
Experience in machine learning
Experience in Airflow and Docker
Experience in healthcare industry
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