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Hadoop Developer

Overview:
Prolifics creates competitive advantage for organizations around the world by implementing customized, end-to-end IT solutions that achieve business success, leveraging leading technologies in a global delivery model. For more than 35 years, our industry-specific insights and certified technology accelerators have transformed organizations around the world by solving complex IT challenges. We have a Global presence across North America, Europe & Asia. In India we have five off-shore development centers; four in Hyderabad and one in Pune. Prolifics is a CMMI Level 5 certified company. We collaboratively work with Technologies from IBM, Microsoft, Open Source and Packaged Application.
Purpose of role
A Hadoop Developer is responsible for the actual coding or programming of Hadoop applications.
Key Responsibilities
Build distributed, reliable and scalable data pipelines to ingest and process data in real-time. Hadoop developer deals with fetching impression streams, transaction behaviours, clickstream data and other unstructured data.
Develop efficient pig and hive scripts with joins on datasets using various techniques.
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.
Desired Expertise
Must have hands-on experience in Big Data Technologies i.e. Apache Hadoop, Map Reduce, Hive, PIG, Sqoop, Flume etc.
Knowledge of Hadoop architecture and Hadoop Distributed File System, Hadoop ecosystem.
Proficient in setting up and working with huge Hadoop clusters, cluster monitoring, and maintenance
Must have hands on experience in modelling in predictive analysis
The most obvious, knowledge of hadoop ecosystem and its components €“HBase, Pig, Hive, Sqoop, Flume, Oozie, etc.
Know-how on the java essentials for hadoop.
Know-how on basic Linux administration
Knowledge of scripting languages like Python or Perl.
Data modelling experience with OLTP and OLAP
Good knowledge of concurrency and multi-threading concepts.
Understanding the usage of various data visualizations tools like Tableau, Qlikview, etc.
Should have basic knowledge of SQL, database structures, principles, and theories.
Basic knowledge of popular ETL tools like Pentaho, Informatica, Talend, etc.
Qualifications and Experience
Years of Experience
4 to 8 years
Educational Qualification
Any Graduation, B.E, B.Tech, MCA, M.Tech, M.S
Prior Experience
Hadoop
Apache spark , Apache Kafka, Apache Storm/Zookeeper and Core Java, Hadoop yaran
Options:

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