Ideavat Inc
Jobs Bridge Inc is among the fastest growing IT staffing / professional services organizations with its own job portal. Jobs Bridge works closely with numerous IT organizations in high-demand technology skill sets.
Job Description
Skills:
Hadoop, HDFS, HBase, Hive, Pig, Sqoop, Apache Spark, Apache Storm, OOAD, SOAP Location
Cedar Park, TX Experience
Minimum 7 years of relevant experience Salary
Not Mentioned Employment Type
Full Time, Direct Jobs Domain
Any Description
Open to GC/CITIZEN applicants Requirements 5+ years of experience with Hadoop development and implementation Strong knowledge of Hadoop Architecture and HDFS Experience with Hortonworks Hadoop, HBase, Hive, Pig, Sqoop, Apache Spark, Apache Storm Ability to develop MapReduce jobs Hands-on experience with HiveQL Proficiency in Pig Latin scripting Experience managing and deploying HBase Knowledge of parallel distributed processing with Apache Spark Experience with Java and shell scripting Familiarity with Jenkins for Continuous Integration Good understanding of backend programming languages such as Java, JavaScript, Node.js, and OOAD Experience writing network-based APIs, preferably REST/JSON or XML/SOAP Strong analytical and problem-solving skills in Big Data domain Experience with deployments and administration in Linux/Unix environments
Skills
Knowledge of installation and configuration of Hadoop monitoring tools like Nagios/Ganglia is a plus Experience with data loading tools such as Flume and Sqoop Familiarity with Java ecosystem, including debugging, profiling (jconsole), logging, and monitoring tools (log4j, JMX)
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Skills:
Hadoop, HDFS, HBase, Hive, Pig, Sqoop, Apache Spark, Apache Storm, OOAD, SOAP Location
Cedar Park, TX Experience
Minimum 7 years of relevant experience Salary
Not Mentioned Employment Type
Full Time, Direct Jobs Domain
Any Description
Open to GC/CITIZEN applicants Requirements 5+ years of experience with Hadoop development and implementation Strong knowledge of Hadoop Architecture and HDFS Experience with Hortonworks Hadoop, HBase, Hive, Pig, Sqoop, Apache Spark, Apache Storm Ability to develop MapReduce jobs Hands-on experience with HiveQL Proficiency in Pig Latin scripting Experience managing and deploying HBase Knowledge of parallel distributed processing with Apache Spark Experience with Java and shell scripting Familiarity with Jenkins for Continuous Integration Good understanding of backend programming languages such as Java, JavaScript, Node.js, and OOAD Experience writing network-based APIs, preferably REST/JSON or XML/SOAP Strong analytical and problem-solving skills in Big Data domain Experience with deployments and administration in Linux/Unix environments
Skills
Knowledge of installation and configuration of Hadoop monitoring tools like Nagios/Ganglia is a plus Experience with data loading tools such as Flume and Sqoop Familiarity with Java ecosystem, including debugging, profiling (jconsole), logging, and monitoring tools (log4j, JMX)
#J-18808-Ljbffr