Wednesday 25 June 2014

Hadoop Solutions Engineer (OAK) | Ask.com | Oakland, CA


Hadoop Solutions Engineer (OAK) | Ask.com | Oakland, CA


Hadoop Solutions Engineer (OAK)
(Location: Oakland, CA)
About Us 
Join the #1 brand and top Web property focused on answering people’s questions. At Ask.com, we’re building a next-generation Q&A service – spanning both the Web and mobile devices — that combines the power of search with insight from real users. Our proprietary algorithms crawl the web for question and answer pairs (400 million and growing), fueling one of the biggest Q&A databases on the Web.  This unique technology, combined with answers from real users in our community, makes Ask.com the most comprehensive Q&A service around. At Ask, we empower each individual to succeed, communicate their ideas, and take action. When you work here, you know your contributions will have a direct and immediate impact on the company. We are serious about creating and maintaining a company culture that is both innovative and fun, and we’re looking for great people to come join our team.
The Role
As a member of the Big data development team, you are responsible for the engineering, deployment and support of all aspects of Hadoop clusters. This is a hands on position and requires in-depth knowledge of running several jobs and optimizing daily tasks. You will join a team of engineers based in Oakland CA, who manages several Hadoop clusters hosted in company data centers.
Your Skills
  • Providing hardware architectural guidance, planning and estimating cluster capacity, and creating roadmaps for Hadoop cluster deployment
  • Installing, configuring, monitoring, and maintaining HDFS, HBase, Pig, Hive and Impala
  • Worked extensively on Apache and Cloudera’s Hadoop clusters
  • Hardening Hadoop clusters for deployments into production environments
  • Troubleshooting experience with common Hadoop cluster issues
  • Familiar with Chef for packaging and deployments
  • Supporting Hadoop developers and assisting in troubleshooting and optimization of MR jobs, Pig and Hive scripts
  • Strong scripting skills in Python, Perl or bash
Desired skills
  • Understand the difference between SQL and NoSQL databases and expert in choosing the right database
  • Knowledge of MySQL administration
  • Knowledge of Storm administration

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