ideaVat
Sr. Hadoop Developer
ideaVat, Cedar Park, Texas, United States, 78613
Jobs Bridge Inc is among the fastest growing IT staffing / professional services organization with its own job portal. Jobs Bridge works extremely closely with a large number of IT organizations in the most in-demand technology skill sets.Job Description
Skills:
Hadoop, HDFS, HBase, Hive, Pig, Sqoop, Apache Spark, Apache Storm, OOAD, SOAPLocation:
Cedar Park, TXTotal Experience:
7 yrs.Max Salary:
Not MentionedEmployment Type:
Direct Jobs (Full Time)Domain:
AnyDescription
GC/CITIZEN can apply.Requirements:
5+ years of experience with Hadoop development and implementationGood knowledge on Hadoop Architecture and HDFSProven understanding with Horton Works Hadoop, HBase, Hive, Pig, Sqoop, Apache Spark, Apache StormAbility to write MapReduce jobsHands on experience in HiveQLAbility to write Pig Latin scriptsManaging and deploying HBaseParallel distributed processing based on the MapReduce paradigm with Apache SparkExperience with Java and shell scriptingExperience with Jenkins for Continuous IntegrationGood knowledge in back-end programming, specifically Java, JS, Node.js and OOADExperience writing to network-based APIs - preferably REST/JSON or XML/SOAPAnalytical and problem solving skills, applied to Big Data domainStrong experience of deployments and administration in Linux/Unix environmentsKnowledge 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.Familiarity with the Java ecosystem and enterprise offerings, including debugging and profiling tools (jconsole), logging and monitoring tools (log4j, JMX)
#J-18808-Ljbffr
Skills:
Hadoop, HDFS, HBase, Hive, Pig, Sqoop, Apache Spark, Apache Storm, OOAD, SOAPLocation:
Cedar Park, TXTotal Experience:
7 yrs.Max Salary:
Not MentionedEmployment Type:
Direct Jobs (Full Time)Domain:
AnyDescription
GC/CITIZEN can apply.Requirements:
5+ years of experience with Hadoop development and implementationGood knowledge on Hadoop Architecture and HDFSProven understanding with Horton Works Hadoop, HBase, Hive, Pig, Sqoop, Apache Spark, Apache StormAbility to write MapReduce jobsHands on experience in HiveQLAbility to write Pig Latin scriptsManaging and deploying HBaseParallel distributed processing based on the MapReduce paradigm with Apache SparkExperience with Java and shell scriptingExperience with Jenkins for Continuous IntegrationGood knowledge in back-end programming, specifically Java, JS, Node.js and OOADExperience writing to network-based APIs - preferably REST/JSON or XML/SOAPAnalytical and problem solving skills, applied to Big Data domainStrong experience of deployments and administration in Linux/Unix environmentsKnowledge 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.Familiarity with the Java ecosystem and enterprise offerings, including debugging and profiling tools (jconsole), logging and monitoring tools (log4j, JMX)
#J-18808-Ljbffr