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We are hiring Search Engineers @ Infogain India

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 We are hiring Search Engineers

Job Description

Search Engineer

yrs of exp-4-7yrs

Responsibilities
Setting up and configuring multiple SOLR cores under Linux environment
Indexing of unstructured data
Defining SOLR index schemas for various data elements and configuring the same for various priorities.
Studying, researching and resolving difficult issues involving Solr, Elastic and related technologies
Engineer automated techniques and processes for the bulk indexing of large-scale data sets residing in database or un-indexed systems
Hands on Automation using Python or Java
Write automated unit test cases for solr search engine
Load balancing, integrating multi core searches.

Key Qualifications 

Strong hands-on experience in SOLR/Elastic 
Expertise in SOLR/Elastic Collection Sharding/replication, failover, fault tolerance, high availability. 
Extensive Experience on Lucene & SOLR -Search Engine, Text Mining, Indexing Lucene Java search library, REST-like API such as HTTP/XML and JSON APIs 
Skill in indexing database on incremental manner. (Add indexes for new records added since previous index and removing indexes for the deleted records.) 
Expertise in configuring SOLR/Elastic schema and understanding in advanced schema fields. 
Understanding of internals of SOLR physical and logical layout 
Expertise in tuning the of search results. 
Expertise in Java JVM tuning and Debugging 
Deep understanding of HTTP and REST APIs. 
Expertise in fine tuning SOLR caches and cache warming and segment merging. 
Exposure to the internal implementations of SOLR/Elastic/Lucene 
Understanding of Information Retrieval techniques. 
Good understanding of agile development and continuous integration 
Good in depth understanding of the Linux in term of debugging tools and performance tuning 
Exposure with Big data platforms is required. 
Should have working knowledge of search and recommendations (Query parsing, Spell Check and associated search topics) 
Knowledge on indexing database using SOLRs built-in database indexing features. 
Good knowledge on Promoting search results, Facet searches, Pivot facet, Stats component, Boost queries, using Filter Queries etc 
SolrJ API programming experience for querying/feeding


 About Infogain:
We combine people, platforms, and software
Infogain is a human-centered digital platform and software engineering company based out of Silicon Valley. We engineer business outcomes for Fortune 500 companies and digital natives in the technology, healthcare, insurance, travel, and retail industries using technologies such as cloud, microservices, automation, IoT, and artificial intelligence. We accelerate experience-led transformation in the delivery of digital platforms. Infogain is also a Microsoft Gold Partner and Azure Expert Managed Services Provider (MSP).
Infogain, a ChrysCapital portfolio company, has offices in California, Washington, Texas, the UK, the UAE and Singapore, with delivery centers in Seattle, Houston, Austin, Krakw, New Delhi, Mumbai, Pune, and Bengaluru.
if you are the one with above skills, please send in your applications at vi*****s@in*****n.com..WE ARE HIRING

Job Classification

Industry: IT Services & Consulting
Functional Area: IT Software - Application Programming, Maintenance,
Role Category: Senior Management
Role: Senior Management
Employement Type: Full time

Education

Under Graduation: Any Graduate in Any Specialization
Post Graduation: Any Postgraduate in Any Specialization
Doctorate: Any Doctorate in Any Specialization

Contact Details:

Company: Infogain India (P) Ltd.
Address: A-16 and A-21,,,SECTOR 60,NOIDA, NOIDA, Uttar Pradesh, India
Location(s): Bengaluru

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Keyskills:   Solr MongoDB Elastic Search

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₹ 2,00,000 - 7,00,000 P.A

Infogain India

A Silicon-Valley headquartered company, Infogain is a global business oriented IT consulting provider of front-end, customer-facing technologies, processes and applications, leading to a more efficient and streamlined customer experience. We want our clients€™ interactions with their cus...