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Remote - Data Engineer
Remote, Work from Home
Remote
Work from Home
00000
Date
: Oct-05-23
2023-10-05
2024-10-04
Remote - Data Engineer
Remote, Work from Home
Oct-05-23
Work Authorization
US Citizen
GC
H1B
GC EAD, TN EAD, H4 EAD, L2 EAD
Preferred Employment
Corp-Corp
W2-Permanent
W2-Contract
1099-Contract
Contract to Hire
Job Details
Experience
:
Senior, Midlevel
Rate/Salary ($)
:
Market
Duration
:
6 months
Sp. Area
:
Data Warehousing/ETL
Sp. Skills
:
Data Engineer
Consulting / Contract
CONTRACTOR
Certification Preferred
Direct Client Requirement
Remote Work from Home
Required Skills
:
Big Data, SQL, Data Engineer, Google Cloud Platform, Hadoop, Windows Azure
Preferred Skills
:
Domain
:
Work Authorization
US Citizen
GC
GC EAD, TN EAD, H4 EAD, L2 EAD
H1B
Preferred Employment
Corp-Corp
W2-Permanent
W2-Contract
1099-Contract
Contract to Hire
Job Details
Experience
:
Senior, Midlevel
Rate/Salary ($)
:
Market
Duration
:
6 months
Sp. Area
:
Data Warehousing/ETL
Sp. Skills
:
Data Engineer
Consulting / Contract
CONTRACTOR
Certification Preferred
Direct Client Requirement
Remote Work from Home
Required Skills
:
Big Data, SQL, Data Engineer, Google Cloud Platform, Hadoop, Windows Azure
Preferred Skills
:
Domain
:
Zytus
Vienna, VA
Post Resume to
View Contact Details &
Apply for Job
Job Description
:
Data Engineer
Remote
6 Month Contract to Hire
Experience with Data Extraction, Data cleaning, Data screening, Data Exploration and Data Visualization of structured and unstructured datasets
Skilled in Big Data Technologies like Spark, Spark SQL, PySpark, HDFS (Hadoop), MapReduce
Experience with cloud services such as : GCP, Azure Cloud,
Experience in working with Google big query, Dataproc and Airflow
Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
Experience building and optimizing 'big data' data pipelines, architectures and data sets.
Strong analytic skills related to working with unstructured datasets.
Working knowledge of highly scalable 'big data' data stores.
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