Role: Big Data with Apache Solr
Duration: 4-6 months, with extension likely
Pay rate: $70/hr all inclusive. Can pay more for GREAT candidate. H1b ok.
Location: Atlanta, Georgia
Interview Process: F2F if local (highly preferred). If not local will do phone and then skype video
Start date: ASAP (immediate need)
Description
Design and implement Big Data analytic solutions on a Hadoop-based platform. Create custom analytic and data mining algorithms to help extract knowledge and meaning from vast stores of data. Refine a data processing pipeline focused on unstructured and semi-structured data refinement. Support quick turn and rapid implementation and larger scale and longer duration analytic capability implementation.
Qualifications
- 9+ years of experience with distributed scalable Big Data store and NoSQL
- At least 7 years experience with Apache Solr
- Experience with MapReduce programming with Apache Hadoop and Hadoop Distributed File System (HDFS) and with processing large data stores
- Experience with the design and development of multiple object-oriented systems
- Experience with designing and developing automated analytic software, techniques, and algorithms
- Previous experience with the following architectural patterns:
- Must have expertise in Apache Lucene search development.
- Experience in full-text search development, especially cross-platform.
- Experience with High Performance Indexing, ranked searching.
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Last updated on Jul 21, 2017