Job Description :
Technical and Functional Skills:

Hadoop development and implementation.
Loading from desperate data sets.
Pre-processing using Hive and Pig.
Designing, building, installing, configuring and supporting Hadoop.
Strong hands-on production level experience architecting and developing within the Hadoop ecosystem (HDFS/MapReduce
Translate complex functional and technical requirements into detail design.
High- Speed querying Hive QL.
Being a part of a POC effort to help build new Hadoop clusters.
Managing and deploying HBase.
Writing high performance, reliable and maintainable code.
Good knowledge of database structures, theories, principles and practices.
Hands on experience as needed with training a variety of consultants
Analytical and problem solving skills.
Proven understanding with Hadoop, HBase, Hive, Pig and HBase.
Good aptitude in multi-threading and concurrency concepts.

Roles and Responsibilities:

Lead and guide development of Hadoop architecture.
Develop solution in highly demanding environment and provide hands on guidance to other team members.
Head complex Data(Hadoop) requirements and design.
Collaborate with product development teams and senior designers to develop architectural requirements to ensure client satisfaction with product.
Implement ETL solution fulfilling stringent performance requirements.
Assess requirements for completeness and accuracy.
Identify, recommend and implement ETL process and architecture improvements.
Manage build phase and quality assure code to ensure fulfilling requirements and adhering to ETL architecture.
Proven track record as an Hadoop Designer, leading development teams to deliver successful business intelligence solutions with complex data sources.
6-8 years hands on experience in ETL development (Hadoop, HBase, HIVE, Pig, Unix
             

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