Hello ,

Hope you are doing fine!!

Please review the requirement and if you are interested  then reply back
with your resume ra...@palni.com  ASAP


*Position - *Hadoop Applications Developer

*Location – Washington D.C.*


*Duration : long term*



*The Role*

As a Hadoop Applications Developer, you will be responsible for developing
application and system code, participating in code reviews and module
testing, and supporting on-going maintenance.



*Responsibilities*

·         Analyzing and reviewing business, functional and high-level
technical requirements.

·         Analytical and problem solving skills, applied to a **Big Data**
environment

·         Designing detailed technical components for complex applications
utilizing high-level architecture, design patterns and reusable code.

·         Supporting detailed project estimates and project work plans.

·         Programming code independently for intermediate to complex
modules following development standards.

·         Planning and conducting code reviews for changes and enhancements
that ensure standards compliance and systems interoperability.

·         Creating test plans for module-level integration and
tracking/resolving defects.

·         Identifying code support issues, action resolutions, and
providing technical assistance for moderately complex problems.

·         Preparing and packaging production-ready code modules for staging.

·         Ability to problem solve and reach resolution with a broader
perspective in mind.

·         Able to effectively communicate with peers, business analysts,
project managers, quality control, and across other technology team
boundaries

·         Follows documentation and development standards.

*Qualifications*

·         Analytical and problem solving skills, applied to a Big Data
Environment.
2-3 years of solid Hadoop experience

   - Familiar with Hadoop tools/languages such as Python, Pig, Hive, Hadoop
   Streaming, Sqoop, Oozie, etc
   - Proven understanding and related experience with Hadoop, HBase, Hive,
   and Map Reduce.
   - Solid understanding of MapReduce and how the Hadoop Distributed File
   System work
   - Understanding of Relational Databases (RDBMS), SQL & No-SQL databases
   - Experience working with Java technologies.

Thanks

Raman

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