Job Description
GC/CITIZEN can apply
Requirements:
3 years of experience with Hadoop development and implementation
Good knowledge on Hadoop Architecture and HDFS
Proven understanding with Horton Works Hadoop, HBase, Hive, Pig, and HBase, Sqoop, Apache Spark, Apache Storm
Ability to write MapReduce jobs
Hands on experience in HiveQL
Ability to write Pig Latin scripts
Managing and deploying HBase
Parallel distributed processing based on the MapReduce paradigm with Apache Spark
Experience with Java and shell scripting
Experience with jenkins for Continuous Integration
Good knowledge in back-end programming, specifically Java, JS, Node.js and OOAD
Experience writing to network-based API’s - preferably REST/JSON or XML/SOAP
Analytical and problem solving skills, applied to Big Data domain
Strong experience of deployments and administration in Linux/Unix environments
Skills:
Knowledge with installation and configuring Hadoop based monitoring tools (NagiOS/ Ganglia) is a plus.
Loading from disparate data sets - Familiarity with data loading tools like Flume, Sqoop.
Knowledge of workflow/schedulers like Oozie.
Familiarity with the Java ecosystem and enterprise offerings,
including debugging and profiling tools (jconsole), logging and
monitoring tools (log4j, JMX)
Skill : Hadoop, HDFS, HBase, Hive, Pig, and HBase, Sqoop, Apache Spark, Apache Storm, OOAD, SOAP
All your information will be kept confidential according to EEO guidelines.