Required Skills

Hadoop Developer

Work Authorization

  • US Citizen

  • Green Card

Preferred Employment

  • Corp-Corp

Employment Type

  • Consulting/Contract

education qualification

  • UG :- - Not Required

  • PG :- - Not Required

Other Information

  • No of position :- ( 1 )

  • Post :- 11th Mar 2022



Note: Client requires work-time overlap within their time zone (specified below).

Mon – Fri 9-5 Eastern Time

Please share at least 7+ years’ experience


Hadoop Developer (HDP 2.6.5)

Familiarity with Hadoop ecosystem and its components – obviously, a must!

Ability to write reliable, manageable, and high-performance code

Expertise knowledge of Hadoop, Hive, HBase, and Pig

Working experience in HQL

Experience of writing Pig Latin Scripts and MapReduce jobs

Hands-on experience in backend programming, particularly Java, JavaScript, OOAD, and Node.js

Good knowledge of the concepts of multi-threading and concurrency

Analytical and problem-solving skills; the implementation of these skills in Big Data domain

Understanding of data loading tools such as Flume, Sqoop etc

Good knowledge of database principles, practices, structures, and theories

Familiarity with the schedulers

Additional Requirements:

Bachelor’s degree in Computer Science, Information Technology, Statistics, or related fields

Upper-Intermediate/Advanced English proficiency

Duties and responsibilities                                                                                                                        

Responsible for the documentation, design, development, and architecture of Hadoop applications

Handle the installation, configuration, and supporting of Hadoop

Write MapReduce coding for Hadoop clusters; help to build new Hadoop clusters

Converting hard and complex techniques as well as functional requirements into the detailed designs

To design web applications for querying data and swift data tracking at higher speeds

To propose best practices and standards; handover to the operations

Perform the testing of software prototypes and transfer to the operational team

Pre-processing of data using Pig and Hive

To maintain data security and privacy

Management and deployment of HBase

Performing the analysis of large data stores and derive insights

Company Information