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Big Data Developer
Tampa, FL
Tampa
FL
33694
Date
: Jun-05-19
2019-06-05
2020-06-04
Big Data Developer
Tampa, FL
Jun-05-19
Work Authorization
US Citizen
GC
H1B
OPT EAD, GC EAD
Preferred Employment
Corp-Corp
W2-Permanent
W2-Contract
1099-Contract
Contract to Hire
Job Details
Experience
:
Architect, Senior, Midlevel
Rate/Salary ($)
:
Market
Duration
:
Sp. Area
:
BigData, NoSQL
Sp. Skills
:
Hadoop
Permanent Direct Hire
FULL_TIME
Direct Client Requirement
Required Skills
:
Big Data, Hadoop, ACCESS, JAVA
Preferred Skills
:
big data, hadoop, spark, hive
Domain
:
IT/Software, Financial, Government, HealthCare, Retail, Dot Com, Insurance, Pharmaceuticals, Manufacturing, Telecom
Work Authorization
US Citizen
GC
OPT EAD, GC EAD
H1B
Preferred Employment
Corp-Corp
W2-Permanent
W2-Contract
1099-Contract
Contract to Hire
Job Details
Experience
:
Architect, Senior, Midlevel
Rate/Salary ($)
:
Market
Duration
:
Sp. Area
:
BigData, NoSQL
Sp. Skills
:
Hadoop
Permanent Direct Hire
FULL_TIME
Direct Client Requirement
Required Skills
:
Big Data, Hadoop, ACCESS, JAVA
Preferred Skills
:
big data, hadoop, spark, hive
Domain
:
IT/Software, Financial, Government, HealthCare, Retail, Dot Com, Insurance, Pharmaceuticals, Manufacturing, Telecom
Nityo Iftoch
Plainsboro, NJ
Post Resume to
View Contact Details &
Apply for Job
Job Description
:
Position: Big Data Developer
Location: Tampa, FL
Duration: Full Time
Job Description:
We are looking for Big data profiles, Java and Spark knowledge is mandatory.
Design and develop data integration solutions (batch and real-time) to support enterprise data platforms including Hadoop, and NoSQL systems.
Work with Hadoop big data platform open source tools such as HIVE, Pig, Flume, Spark
Work with business teams to evaluate and implement analytics and reporting solutions or enhancements to improve data management and modelling processes.
Translate business and functional requirements into thorough, detailed, and clearly written technical specifications
Participate in and review application and infrastructure related projects to understand impacts to the overall data architecture;
Make recommendations and implement changes to mitigate risks and optimize the performance of analytics and reporting.
Understand available data, including both in structured and unstructured formats, and recommend effective ways for storage and analytical processing.
Design and implement the big data platform for Recommendation Engines.
Implement data ingestion framework for batch and near real-time processing of diverse data set.
Automate access and transformation of large volumes of data for analytics.
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