Azure Data Engineer

Minneapolis, MN Minneapolis MN 55488

Date : Oct-23-21

Azure Data Engineer

Minneapolis, MN

Oct-23-21

Work Authorization

US Citizen
GC
H1B
GC EAD, L2 EAD, H4 EAD

Preferred Employment

Corp-Corp
W2-Permanent
W2-Contract
1099-Contract
Contract to Hire

Job Details

Experience

:

Expert

Rate/Salary ($)

:

Market

Duration

:

12

Sp. Area

:

Cloud, Salesforce, SaaS

Sp. Skills

:

Windows Azure

Consulting / Contract

Required Skills :

Windows Azure, SQL, Big Data, Data Engineer, DevOps, Eclipse, Kafka, SCRUM

Preferred Skills :

Domain :

Work Authorization

US Citizen
GC
GC EAD, L2 EAD, H4 EAD
H1B

Preferred Employment

Corp-Corp
W2-Permanent
W2-Contract
1099-Contract
Contract to Hire

Job Details

Experience

:

Expert

Rate/Salary ($)

:

Market

Duration

:

12

Sp. Area

:

Cloud, Salesforce, SaaS

Sp. Skills

:

Windows Azure

Consulting / Contract

Required Skills :

Windows Azure, SQL, Big Data, Data Engineer, DevOps, Eclipse, Kafka, SCRUM

Preferred Skills :

Domain :

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Sumeru Solutions
Washington, DC
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Job Description :

4 years of hands-on experience in Azure Data factory Azure Databricks Azure DevOps Azure Data Lake storage Gen1 Gen2
Expertise in designing deploying data applications on Azure
Proficient in programming languages like Pyspark
Good to have knowledge in Kafka streaming Azure Infrastructure setup using Terraform
Proficient in OOAD using UML in application of data design patterns
Experienced in using tools like Rational suite Enterprise Architect Eclipse and Source code versioning systems like CVS SVN
Experience with different development methodologies RUP Scrum XP
Hands on experience in Azure stack Azure Data Lake Azure Data Factory Azure Databricks Mandatory
Good understanding of other Azure services like Azure Data Lake Analytics T SQL U SQL Azure SQL DW
Good understanding of Azure Databricks platform and can build data analytics solutions to support the re quired performance scale
Demonstrated analytical and problem-solving skills particularly those that apply to a big data environment

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