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Data Engineer(Sai)
Chicago, IL
Chicago
IL
60701
Date
: Jun-08-21
2021-06-08
2022-06-08
Data Engineer(Sai)
Chicago, IL
Jun-08-21
Work Authorization
US Citizen
GC
H1B
EAD (OPT/CPT/GC/H4)
Preferred Employment
Corp-Corp
W2-Permanent
W2-Contract
1099-Contract
Contract to Hire
Job Details
Experience
:
Senior
Rate/Salary ($)
:
Market
Duration
:
Sp. Area
:
Data Warehousing/ETL
Sp. Skills
:
Data Engineer
Permanent Direct Hire
FULL_TIME
Direct Client Requirement
Required Skills
:
Windows Azure, Python, Data Engineer, Data Warehousing, DevOps, ETL, JAVA
Preferred Skills
:
Snowflake
Domain
:
Work Authorization
US Citizen
GC
EAD (OPT/CPT/GC/H4)
H1B
Preferred Employment
Corp-Corp
W2-Permanent
W2-Contract
1099-Contract
Contract to Hire
Job Details
Experience
:
Senior
Rate/Salary ($)
:
Market
Duration
:
Sp. Area
:
Data Warehousing/ETL
Sp. Skills
:
Data Engineer
Permanent Direct Hire
FULL_TIME
Direct Client Requirement
Required Skills
:
Windows Azure, Python, Data Engineer, Data Warehousing, DevOps, ETL, JAVA
Preferred Skills
:
Snowflake
Domain
:
Apar Technologies
Princeton, NJ
Post Resume to
View Contact Details &
Apply for Job
Job Description
:
10 years of total experience in IT and seeking previous 3 years with Snowflake Cloud Azure Technologies experience ETL Data Integration
Must have hands on experience with Snowflake cloud data platform including Snowflake utilities like SnowSQL SnowPipe
Must have hands on experience on Azure Data Factory Blob Storage Data Catalog Batch
Should have experience working on Metadata driven Ingestion frameworks and ingesting data into Azure blob storage Hybrid Multi Cloud implementation experience in deploying exploration sandboxes and Data Warehouse
Experience with object oriented languages like Python and or Java
Experience with Python based automation frameworks CI CD pipeline setup using Jenkins or Azure DevOps services
Azure certification preferred
Use APIs or source XML Type columns to dynamically extract integrate and load data in target schema Nice to have Experience in Insurance domain
Client :
Capgemini
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