Hadoop Developer

Company Name: RangTech
Location: New York, NY
Date Posted: 30th Apr, 2016

•    Hadoop development and implementation.
•    Loading from disparate data sets.
•    Pre-processing using Hive and Pig.
•    Designing, building, installing, configuring and supporting Hadoop.
•    Translate complex functional and technical requirements into detailed design.
•    Perform analysis of vast data stores and uncover insights.
•    Maintain security and data privacy.
•    Create scalable and high-performance web services for data tracking.
•    High-speed querying.
•    Managing and deploying HBase.
•    Being a part of a POC effort to help build new Hadoop clusters.
•    Test prototypes and oversee handover to operational teams.
•    Propose best practices/standards.


Technical Skills:
•    Bachelor’s degree in Computer Science/ IT or equivalent work experience
•    Experience working with, processing and managing large data sets is a must
•    2+ years of proven experience in Big Data Components/Frameworks (Hadoop, HBase, MapReduce, HDFS, Pig, Hive, Sqoop, Flume, Oozie, YARN)
•    Knowledge and experience of System Development Life Cycle (SDLC), product development methodologies, database design concepts and system integration strategies.
•    Experienced in SQL, core Java/Python/Perl is required
•    Good knowledge of HBase schema design and optimization
•    Experience working on Hadoop projects
•    Good in requirements gathering and analysis
•    Solid SQL experience is a big advantage. 
•    Familiarity with MapR M7 is highly desirable
•    Proficient communication skills both verbal and written