Remote - Lead Cloud Engineer (Azure)

Remote, Work from Home Remote Work from Home 00000

Date : Aug-31-20

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

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

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

Apply Now

youngsoft
Wixom, MI
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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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