Sr. Hadoop Developer

Jobsbridge; Cedar Park (TX); On-site; Full time

Job summary

A leading IT staffing organization in Cedar Park, TX, is seeking a Hadoop Developer with over 5 years of experience in development and implementation. The successful candidate will have extensive knowledge of Hadoop architecture and related technologies like HDFS, Hive, and Apache Spark. Strong Java skills, familiarity with scripting, and experience in Linux environments are essential. This full-time position offers the chance to work with a variety of IT organizations in a dynamic environment.

Qualifications

• 5+ years of experience in Hadoop development.
• Proven understanding of HDFS and Hadoop ecosystem.
• Hands-on experience with Hive and MapReduce.

Skills

Hadoop development

Hadoop Architecture

Java

HiveQL

MapReduce

REST/JSON

Apache Spark

Linux/Unix

Tools

Apache Hive

Jenkins

HBase

Squid

Flume

Job description

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

Skill Hadoop, HDFS, HBase, Hive, Pig, and HBase, Sqoop, Apache Spark, Apache Storm, OOAD, SOAP

Location Cedar Park, TX

Total Experience 7 yrs.

Max Salary Not Mentioned

Employment Type Direct Jobs (Full Time)

Domain Any

GC/CITIZEN can apply

Requirements

• 5+ 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
• 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.
• Familiarity with the Java ecosystem and enterprise offerings, including debugging and profiling tools (jconsole), logging and monitoring tools (log4j, JMX)