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Hadoop Sr. Lead/Consultant – Charlotte, NC
Charlotte, NC
Charlotte
NC
28299
Date
: Jun-28-19
2019-06-28
2019-07-28
Hadoop Sr. Lead/Consultant – Charlotte, NC
Charlotte, NC
Jun-28-19
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
:
Architect, Senior
Rate/Salary ($)
:
Market
Duration
:
12 Months
Sp. Area
:
BigData, NoSQL
Sp. Skills
:
Hadoop
Consulting / Contract
Third Party OK
CONTRACTOR
Direct Client Requirement
Required Skills
:
Hadoop, Apache, Data Warehousing, DevOps, ETL
Preferred Skills
:
Domain
:
IT/Software, Financial, Government, HealthCare, Retail, Dot Com, Insurance, Pharmaceuticals, Manufacturing, Telecom
Work Authorization
US Citizen
GC
EAD (OPT/CPT/GC/H4)
H1B
Preferred Employment
Corp-Corp
W2-Permanent
W2-Contract
1099-Contract
Contract to Hire
Job Details
Experience
:
Architect, Senior
Rate/Salary ($)
:
Market
Duration
:
12 Months
Sp. Area
:
BigData, NoSQL
Sp. Skills
:
Hadoop
Consulting / Contract
Third Party OK
CONTRACTOR
Direct Client Requirement
Required Skills
:
Hadoop, Apache, Data Warehousing, DevOps, ETL
Preferred Skills
:
Domain
:
IT/Software, Financial, Government, HealthCare, Retail, Dot Com, Insurance, Pharmaceuticals, Manufacturing, Telecom
MassInfosys
Addison, TX
Post Resume to
View Contact Details &
Apply for Job
Job Description
:
Job Title: Hadoop Sr. Lead/Consultant
Location: Charlotte, NC
Duration: Long Term
Overall 10-12 yrs of experience in IT and at least 5-6 yrs development experience on Hadoop using MapR, HIVE, Apache Spark
Experience in developing applications using big-data, cloud and container based architecture
Develop code for data services, test and deploy
Experience with DevOps tools like Chef, Puppet to integrate the artifacts and assets developed by model developers
Experience in optimizing and troubleshooting application performance with tuning of Hive and Apache Spark.
Work with business analysts, development teams and project managers for requirements and business rules.
Effectively work in a hybrid environment where legacy ETL and Data Warehouse applications and new big-data applications co-exist
Work with Infrastructure Engineers and System Administrators as appropriate.
Working experience with offshore-onsite model
Good analytical skills and problem solving skills
Strong oral and written communications skills
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