At the end of November, we’ll be migrating the Sematext Logs backend from Elasticsearch to OpenSearch

Data Engineer Position at Sematext International

April 18, 2012

Table of contents

If you’ve always wanted to work with Hadoop, HBase, Flume, and friends and build massively scalable, high-throughput distributed systems (like our Search Analytics and SPM), we have a Data Engineer position that is all about that!  If you are interested, please send your resume to jobs@sematext.com.

Responsibilities:

  • Versatile architect and developer – design and build large, high performance,scalable data processing systems using Hadoop, HBase, and other big data technologies
  • DevOps fan –  run and tune large data processing production clusters
  • Tool maker – develop ops and management tools 
  • Open source participant – keep up with development in areas of cloud and distributed computing, NoSQL, Big Data, Analytics, etc.

Pluses:

  • solid Math, Statistics, Machine Learning, or Data Mining is not required but is a big plus
  • experience with Analytics, OLAP, Data Warehouse or related technologies is a big plus
  • ability and desire to expand and lead a data engineering team
  • ability to think both business and engineering
  • ability to build products and services based on observed client needs
  • ability to present in public, at meetups, conferences, etc.
  • ability to contribute to blog.sematext.com
  • active participation in open-source communities
  • desire to share knowledge and teach
  • positive attitude, humor, agility, high integrity, and low ego, attention to detail

Location:

  • New York

We’re small and growing.  Our HQ is in Brooklyn, but our team is spread over 4 continents.  If you follow this blog you know we have deep expertise in search and big data analytics and that our team members are conference speakers, book authors, Apache members, open-source contributors, etc.

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