Oracle Senior Principal Consultant - Apache Solr in BENGALURU, India
Clarity of fundamentals of Search engine basics such as Indexing and Searching
Prior exposure to Lucene and Hadoop environment
Experience with Search/storage engine optimized to search large volumes of text-centric data
Implementation using formats XML, JSON and .CSV to enter and retrieve documents
Communication using restful services with Solr
Implementation of full text search such as tokens, phrases, spell check, wildcard, and auto-complete
Organization in standalone, distributed, cloud mode for indexing and replication
Setup containing instance, core, SolrCloud
Distribution of search tasks along a cluster
Familiarity with Admin interface to manage logs, add, delete, update and search documents
Indexes management using Solr Web Interface or client APIs like Java, Python or Post tool for large scale applications
Hold over architecture containing Request Handler, Search Component, Query Parser, Response Writer, Analyzer/tokenizer, Update Request Processor
Conversance with Query and Data Faceting
Search engine operations such as Acquiring Raw Content, Build/Analyze/Indexing the document, Building User Interface for Search, Building and Executing Search Query and Rendering Results
Setting up Solr in Windows and Hadoop environments
Building components of Solr
Setting up Solr instances in standalone and distributed environments
Solr Admin and command controls
Managing Solr core and inter-core communication
Indexing documents into Solr
Querying and retrieving data from indexes
Contribute in all phases of the development lifecycle
Write well designed, testable, efficient code
Ensure designs are in compliance with specifications
Prepare and produce releases of software components
Support continuous improvement by investigating alternatives and technologies and presenting these for architectural review
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