Search Engineer
4 miesięcy temu
We are starting a brand new project with one of the biggest automotive parts retailers in the world to work on a major replatforming initiative to leverage our expertise in turnkey digital transformation initiative. The idea is to fully migrate to GCP from on-premise ATG environment and leverage cloud capabilities of #1 retail ecosystem in the world.
Our customer is one of the biggest US auto parts retailers. Founded in 1979, it has over 6,400 stores across the United States, Mexico, Puerto Rico, Brazil and the US Virgin Islands.
GCP, migration from on-prem ATG. BigQuery, Cloud Dataflow, Cloud Dataproc, Apache SOLR
Essential functions
Lead and execute the technical implementation of Solr, Lucidworks Fusion Design, build and maintain an enterprise-wide federated search & analytics infrastructure. Apply data mining, NLP, and machine learning (both supervised and unsupervised) to improve relevance and personalization algorithms. Build and deploy integrations to connect Solr to a variety of data & content sources. Work side-by-side with digital product owners, software engineers, and UX designers to build federated and personalized search experiences that deliver highly relevant search results to users. Optimize and tune search queries and indices to improve search relevancy.
Qualifications
Bachelor’s or Master’s Degree in a technology related field (e.g. Engineering, Computer Science, etc.) required. Understand architecture of search system and components and interfaces Strong Problem-solving skills and handling of on call responsibilities Ability to work with project teams located in multiple geographic locations Hands-on experience crafting and developing in the heart of a search solution (e.g. Solr, Lucene, Lucidworks or Elastic Search, etc.) Processing and bulk Indexing various types of documents like HTML, PDF, Office, Images, and in different languages Extensive Experience on Lucene & SOLR -Search Engine, Text Mining, Indexing SOLR search library, and REST APIs Knowledge of multiple language support and natural language recognition and processing Proven expertise in designing and configuring SOLR/ Lucidworks / Elastic schema and understanding in advanced schema fields. Operational understanding and experience deploying and handling search at scale Building data / text pipelines including custom components in either Lucidworks or Elastic Proven experience in SOLR query languages and writing complex queries with joins and aggregate that deals with large amounts of data and fine tuning the search results. Experience in Pattern Matching to extract data from Web Sites (Web Scraping), Text Documents, or html files using Python, Java / C#, and RegEx and Automation using Python or Java Should have solid understanding of search and recommendations (Query parsing, Spell Check and associated search topics) Knowledge of computational linguistics and/or NLP a plus Knowledge in setting up spiders to crawl web sites Knowledge working with Python and R libraries Knowledge in Web Scraping, extracting text from HTML, PDF, Word, etc.5.
We offer
Opportunity to work on bleeding-edge projects Work with a highly motivated and dedicated team Competitive salary Flexible schedule Benefits package - medical insurance, sports Corporate social events Professional development opportunities Well-equipped office
About us
Grid Dynamics (Nasdaq:GDYN) is a digital-native technology services provider that accelerates growth and bolsters competitive advantage for Fortune 1000 companies. Grid Dynamics provides digital transformation consulting and implementation services in omnichannel customer experience, big data analytics, search, artificial intelligence, cloud migration, and application modernisation. Grid Dynamics achieves high speed-to-market, quality, and efficiency by using technology accelerators, an agile delivery culture, and its pool of global engineering talent. Founded in 2006, Grid Dynamics is headquartered in Silicon Valley with offices across the US, UK, Netherlands, Mexico, and Central and Eastern Europe. To learn more about Grid Dynamics, please visit www.griddynamics.com. Follow us on Facebook, Twitter, and LinkedIn.
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