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Hadoop Developer
Irving, TX
Irving
TX
75063
Date
: Jan-24-19
2019-01-24
2020-01-24
Hadoop Developer
Irving, TX
Jan-24-19
Work Authorization
US Citizen
GC
H1B
OPT EAD, CPT EAD, GC EAD, L2 EAD, TN EAD
Preferred Employment
Corp-Corp
W2-Permanent
W2-Contract
1099-Contract
Contract to Hire
Job Details
Experience
:
Senior
Rate/Salary ($)
:
Market
Duration
:
12 Months
Sp. Area
:
BigData, NoSQL
Sp. Skills
:
Hadoop
Consulting / Contract
CONTRACTOR
Direct Client Requirement
Required Skills
:
Hadoop, Hive, Hbase, Spark, R Programming
Preferred Skills
:
Domain
:
IT/Software, HealthCare, Retail, Insurance, Pharmaceuticals
Work Authorization
US Citizen
GC
OPT EAD, CPT EAD, GC EAD, L2 EAD, TN EAD
H1B
Preferred Employment
Corp-Corp
W2-Permanent
W2-Contract
1099-Contract
Contract to Hire
Job Details
Experience
:
Senior
Rate/Salary ($)
:
Market
Duration
:
12 Months
Sp. Area
:
BigData, NoSQL
Sp. Skills
:
Hadoop
Consulting / Contract
CONTRACTOR
Direct Client Requirement
Required Skills
:
Hadoop, Hive, Hbase, Spark, R Programming
Preferred Skills
:
Domain
:
IT/Software, HealthCare, Retail, Insurance, Pharmaceuticals
People Force Consulting Inc
Southfield, MI
Post Resume to
View Contact Details &
Apply for Job
Job Description
:
Position: Hadoop Specialist
Location: Irving, TX
Duration: 12+ months contract
Interview: WebEx
Start: ASAP
Skills
Hands-on working experience on Spark, Hive and HBase is a MUST
Experience of working as a Big Data modeler
Strong experience in Hadoop development and implementation.
Good knowledge of database structures, theories, principles, and practices
Ability to write MapReduce jobs And/or Pig Latin Scripts
Proven understanding with Hadoop, Hive, Pig, and HBase
Strong experience on large cloud-computing infrastructure solutions like Amazon Web Services or Elastic MapReduce is desirable
Analytical and problem-solving skills, applied to Big Data domain
Good aptitude in multi-threading and concurrency concepts
Good to have experience in big data solutions like Impala, Oozie, Mahout, Flume, ZooKeeper and/or Sqoop.
Job Responsibilities
Responsible for Hadoop development and implementation.
Work independently on Spark, Hive and HBase
Loading from disparate data sets
Pre-processing using Hive and Pig
Designing, building, installing, configuring and supporting Hadoop.
Translate complex functional and technical requirements into detailed design.
Perform analysis of vast data stores and uncover insights.
Maintain security and data privacy.
Create scalable and high-performance web services for data tracking.
High-speed querying.
Managing and deploying HBase.
To be able to work in a fast-paced agile development environment.
Work in a fast-paced, creative atmosphere to develop new ideas that adapt to evolving user needs
Strong visual and verbal communication skills
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