As a search engine & data processing engineer, you will be working on developing, maintaining, testing and optimizing search engines, aggregators as well as determine best practices that involve high volume transactions and ETL dependencies.

• Analyze unstructured data for ingest
• Design and develop ingest processes
• Design and develop Solr schema for efficiency -> understand Solr
• Design and develop interfaces for application searches
• Design network architecture for Solr cluster
• Design and develop incremental update procedures
• Design and build data collection replacement strategy
• Define and configure Solr index schemas for multiple data elements
• Build Solr queries for numerous search requirements
• Design and develop search engine monitoring tools
• Monitor and audit search application performance through load testing, search testing, query response time testing and report activities on an on-going basis

• Bachelor's degree in computer science or related field or an equivalent amount of work experience plus a minimum of 8 years of relevant work experience
• 4+ years of experience using and working with Apache Solr
• 4+ years of experience implementing Solr builds of indexes, shards, and refined searches across un-structured datasets to include architectural scaling
• 5+ years of experience in architectural design and resource planning for scaling Solr capabilities
• 3+ years of experience with automated techniques and processes for bulk indexing of large-scale datasets residing in databases or un-indexed systems.
• 2+ years of experience working on Scrum or other agile development based methodologies
• 2+ years of experience leading development efforts

ADDITIONAL EXPERIENCE:

• Hadoop specific experience
• Familiarity with Entity Resolution technology
• Familiarity with architecture, both logical and physical design
• Experience with distributed queuing with technologies like Kafka
• Engineering experience in Java or Scala a plus