Data Engineer with Azure/Python/Scala

Bellevue, WA Bellevue WA 98015

Date : Mar-06-20

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

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

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

Apply Now

Cloudious Llc
San Jose, CA
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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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