Big Data Engineer

Charlotte, NC Charlotte NC 28299

Date : Mar-12-20

Big Data Engineer

Charlotte, NC

Mar-12-20

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 ($)

:

DOE

Duration

:

6 Months

Sp. Area

:

Cloud, Salesforce, SaaS

Sp. Skills

:

x-Other

Consulting / Contract

Direct Client Requirement

Required Skills :

Agile, Big, Hadoop, HBASE, hive, Spark

Preferred Skills :

Domain :

IT/Software

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 ($)

:

DOE

Duration

:

6 Months

Sp. Area

:

Cloud, Salesforce, SaaS

Sp. Skills

:

x-Other

Consulting / Contract

Direct Client Requirement

Required Skills :

Agile, Big, Hadoop, HBASE, hive, Spark

Preferred Skills :

Domain : IT/Software

Apply Now

Bluegrass Tek
Cleveland, OH
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Job Description :

Role: Big Data Engineer

Location: Charlotte, NC

Duration: 6+ Months

Interview: Phone and Skype

Visa: USC or GC

Required:

Looking for a Big Data Engineer with the following experience:

5 years of progressive, post-bachelor’s experience in Data Engineering/ Management, or Analytics.
Experience with using build tools including one or more of the followings: Ant, Maven, Gradle.
Strong experience with using IDE’s and Software development environments including one or more of the followings: Eclipse, NetBeans or Intellij Idea.
4 years of experience in Big Data Solutions using technologies including one or more of the followings: Hadoop, Hive, HBase, MapReduce, Spark, Sqoop, Oozie, Java.
2 years of experience applying Agile development practices and working with distributed, component-based architectures.
2 Years of experience in Spark/Scala.
1-2 years of experience with REST API development
1 year of experience on Cloud platforms such as Azure or GCP
Strong experience in performance Tuning, troubleshooting application issues & analyzing production issues

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