Elastic Search :  3-5 years industry experience, 2+ years exp. in Elastic Search

Elastic Search :  3-5 years industry experience, 2+ years exp. in Elastic Search

As a member of the Data Analytics Practice, the candidate will be responsible for:

  • Quickly creating and optimizing a wide variety of services.
  • Creating customized policies and virtualization and security services.
  • Gathering real time network intelligence with integral virtual probe and analytics.

The candidate will help build a best of breed platform for developing high performance applications. Responsibilities will include integrating, enhancing and contributing to leading open source projects such as Elasticsearch, Logstash, Kibana with a particular focus on ELK based logging platform.

Required skills and experience:

General:

  • Must have experience on application development using any stack
  • Experience in Web/Application development.
  • Expertise in at least one of these languages: Python, Javascript, Node.Js, Shell Scirpting
  • Experience of one of the Database – Oracle, MySQL or PostgreSQL
  • Familiar with Linux, Experience in CICD for in-house and cloud based implementations

 

Search:

  • Expertise in Elastic stack (ElasticSearch, logstach, Kibana, Beats, APM) – Mandatory
  • Expertise in ElasticSearch, Cluster, Sharding, Index and Mapping Design
  • Good understanding and hands-on experience on Relevancy Strategies
  • Understanding about ‘keyword search’
  • Understanding on Search platform eco-system Data Connectors, Data Transformation, Data Load, Data Index, Data Query Clients, Data
  • Results Relevancy Modules
  • Experience in customizing search workflows that includes faceted search, keywords search, phrase search, query expansion using synonyms
  • Experience in search results tuning by optimizing query load, offline sorting, shard based search

 

Desirable skills:

Knowledge of Databases, Linux & experience in Linux Scripting

 

Educational Qualifications:

  • BE/B.Tech, MCA, MSc – IT