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Cloud Developer
Cincinnati, OH
Cincinnati
OH
45999
Date
: Jun-15-18
2018-06-15
2018-08-14
Cloud Developer
Cincinnati, OH
Jun-15-18
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 ($)
:
Market
Duration
:
6 months with extension
Sp. Area
:
BigData, NoSQL
Sp. Skills
:
Hadoop
Consulting / Contract
CONTRACTOR
Required Skills
:
Big Data, cloud, on prem, Spark, Python, PySpark, Cloud DataProc, Cloud DataFlow, BigQuery, Kubernetes
Preferred Skills
:
Other tooling in the GCP ecosystem
Domain
:
IT/Software, Retail
Work Authorization
US Citizen
GC
EAD (OPT/CPT/GC/H4)
H1B
Preferred Employment
Corp-Corp
W2-Permanent
W2-Contract
1099-Contract
Contract to Hire
Job Details
Experience
:
Senior
Rate/Salary ($)
:
Market
Duration
:
6 months with extension
Sp. Area
:
BigData, NoSQL
Sp. Skills
:
Hadoop
Consulting / Contract
CONTRACTOR
Required Skills
:
Big Data, cloud, on prem, Spark, Python, PySpark, Cloud DataProc, Cloud DataFlow, BigQuery, Kubernetes
Preferred Skills
:
Other tooling in the GCP ecosystem
Domain
:
IT/Software, Retail
Barrister Global Services Network
Hammond, LA
Post Resume to
View Contact Details &
Apply for Job
Job Description
:
Job Summary:
We are looking for a developer with experience using big data and cloud technologies. Google Cloud Platform is the preferred platform but open to cloud data experience in other platforms (AWS, Azure, etc As a senior data developer, you will have the opportunity to lead the build of solutions to ingest, store and distribute our big data to our analysts and work with them to develop and deliver data science used in our commercial products. Our developers use Python, Hadoop, Spark, Hive, and SQL to deliver the products, tools and features of the future alongside application developers and members of our product team.
Skills required:
5+ years of Development with 3+ years in the Big Data ecosystem
Hands on experience with Cloud and On Prem big data solutions
Core technologies
o Spark
o Python
o PySpark
o Google based cloud technology (or equivalent) including:
Cloud DataProc
Cloud DataFlow
BigQuery
Kubernetes
Other tooling in the GCP ecosystem
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