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Data Engineer with Azure/Python/Scala
Bellevue, WA
Bellevue
WA
98015
Date
: Mar-06-20
2020-03-06
2021-02-24
Data Engineer with Azure/Python/Scala
Bellevue, WA
Mar-06-20
Work Authorization
US Citizen
GC
H1B
L2 EAD, H4 EAD, TN EAD
Preferred Employment
Corp-Corp
W2-Permanent
W2-Contract
1099-Contract
Contract to Hire
Job Details
Experience
:
Senior, Midlevel
Rate/Salary ($)
:
Market
Duration
:
18
Sp. Area
:
Others
Sp. Skills
:
Others
Consulting / Contract
CONTRACTOR
Required Skills
:
SQL, DevOps, SAN, Data Factory, Azure SQL, Python
Preferred Skills
:
Azure Data Factory
Domain
:
IT/Software, Financial, Government, HealthCare, Retail, Dot Com, Insurance, Pharmaceuticals, Manufacturing, Telecom
Work Authorization
US Citizen
GC
L2 EAD, H4 EAD, TN EAD
H1B
Preferred Employment
Corp-Corp
W2-Permanent
W2-Contract
1099-Contract
Contract to Hire
Job Details
Experience
:
Senior, Midlevel
Rate/Salary ($)
:
Market
Duration
:
18
Sp. Area
:
Others
Sp. Skills
:
Others
Consulting / Contract
CONTRACTOR
Required Skills
:
SQL, DevOps, SAN, Data Factory, Azure SQL, Python
Preferred Skills
:
Azure Data Factory
Domain
:
IT/Software, Financial, Government, HealthCare, Retail, Dot Com, Insurance, Pharmaceuticals, Manufacturing, Telecom
Cloudious Llc
San Jose, CA
Post Resume to
View Contact Details &
Apply for Job
Job Description
:
Hi, Cloudious LLC is one of the fastest emerging IT Solutions and Services company headquartered in San Jose, CA with their global offices in Canada and APAC.
Job Title:- Data Engineer with Azure/Python/Scala
Work Location:- Redmond, WA
Job Type:- Long Term Contract
Must Have:-
Azure Data Factory, Azure Data Lake, Azure SQL, Azure Data Bricks
Job Description:
Build processes supporting data transformation, data structures, metadata, dependency and workload management.
Experience with data pipelining into Azure.
Experience with one or more languages: Python & Pyspark, T-SQL, Spark, Scala.
Familiarity with DevOps tools like Azure DevOps
Experience working with Azure data integration techniques & self-service data preparation.
Assist business users on functional and data requirements to enhance data models and pipelines.
Experience in requirements analysis, design and prototyping.
Experience deploying modern data solutions leveraging components like Azure functions, Azure Data Factory, Data Flows, Azure Data Lake, Azure SQL
Karthik
O :
E :
W :
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