We Have Urgent requirement for Spark /Scala/Big Data Developers at NewYork

New York, NY New York NY 10286

Date : Feb-26-19

We Have Urgent requirement for Spark /Scala/Big Data Developers at NewYork

New York, NY

Feb-26-19

Work Authorization

US Citizen
GC
H1B
L2 EAD, H4 EAD, TN EAD

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

H1B Sponsorship Available

Required Skills :

Spark, Scala, Big Data

Preferred Skills :

Domain :

Work Authorization

US Citizen
GC
L2 EAD, H4 EAD, TN EAD
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

H1B Sponsorship Available

Required Skills :

Spark, Scala, Big Data

Preferred Skills :

Domain :

Apply Now

Nityo Infotech
Plainsboro, NJ
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Job Description :

Hi,

Greetings!!

We Have Urgent requirement for Spark /Scala/Big Data Developers at NewYork

Role: Spark /Scala/Big Data Developers
Location: NewYork
Duration: 12+ Months

Mandatory Technical / Functional Skills:
6+ years of experience in Big Data technologies i.e. Hadoop Platform (Hive, HDFS and Spark)
Must have Experience developing big data systems utilizing Spark API and UDFs in Scala/Java.
Hands on experience using UNIX, SQL, Spark framework and Java

Roles & Responsibilities
Expertise in Scala Functional programming.
Hands-on experience in Scala Development, Spark is must.
Adept at Apache Spark programming using Scala.
Good knowledge of Configuring and working on Multi node clusters and distributed data processing framework Spark.,
Experience in designing data pipelines, complex event processing, analytics components using big data technology (Scala/ Spark),
Experience in working with large volumes of data (Tera-bytes), analyze the data structures and design in Hadoop cluster effectively

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