Job Description :
Position: Big Data Architect
Duration: 6+ months, with extension likely
Location: Atlanta, Georgia
Interview Process: Phone interview then F2F
Start date: ASAP (immediate need) Next week

urgent need of a Big Data Architect with Apache Solr.

Candidate does not need to be located in Atlanta (although that is preferred) but will need to fly down for an interview and relocate on their own cost.

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
- 7+ years of experience with distributed scalable Big Data store and NoSQL
- At least 3-4 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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