Hadoop Engineer

Verizon is one of the largest communication technology companies in the world.

Every day, we connect millions of people, companies and communities with our powerful technology. We’re using our award-winning network to make breakthroughs in interactive entertainment, digital media, the Internet of Things and broadband services for customers. Whatever the future looks like, whatever the digital world promises, we will deliver.

Verizon Corporate Technology's Big Data Group is looking for Big Data engineers with expert level experience in architecting and building our new Hadoop, NoSql, InMemory Platforms(s) and data collectors. You will be part of the team building worlds one of the largest Big Data Platform(s) that can ingest 100’s of Terabytes of data that will be consumed for Business Analytics, Operational Analytics, Text Analytics, Data Services and build Big Data Solutions for various Verizon Business units

This is a unique opportunity to be part of building disruptive technology where Big Data will be used as platform to build solutions for Analytics, Data Services and Solutions.

• Hands on contribution to biz logic using Hadoop echo system (Java MR, PIG, Scala, Hbase, Hive)
• Work on technologies related to NoSQL, SQL and InMemory platform(s) *productsite

Qualifications

• Hands on experience (coding) in developing solutions on BigData and expert level experience in Java programming
• Expert level understanding of Hadoop HDFS and MapReduce internals.
• Proficient in Java, HBase, Oozie, PIG or Scala
• Experience working with NoSQL Databases like HBase
• Bachelor’s degree in Computer Science, Management Information Systems
• or related field.
• 5+ years of experience building and managing complex products/solutions.
• 2+ years of experience working in Linux/Unix environment.

Desired Skills and Experience

• Experience with components in Hadoop echo system (Hive, Pig, Impala, Oozie)
• Experience with Storm in building near real time solutions
• Most importantly be a good team player and willingness to learn and implement new Big Data technologies as needed