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Data Crawling Engineer @ Draphant Consultants

Keywords / Skills : DNS, HTTP, Python, DJANGO, "Data Extraction", Scrapping, Parsing, API, "Internet Protocal", "Web Authoring", HTML, CSS, RestAPI, Mysql, Linux, "Machine Learning", "Artificial Intelligence", AI

2 - 3 years
Posted: 2018-06-14

Industry
Consultancy
Function
IT
Role
Software Engineer/ Programmer
System Analyst/ Tech Architect
Database Architect/ Designer
Education
Any graduate
Stream:
Any
Salary
1.80 - 2.80 lacs
Posted On
14th Jun 2018
Job Description
About the Company:
Draphant Consultants

Rooted in India for 10 years, Draphant Consultants helps China's Business Enterprises in Starting Business in India.

Job Description:
  • Deep knowledge of the relevant Internet Protocols such as HTTP, DNS and familiarity with the web authoring standard such as HTML, CSS as well as de-facto data encoding, mark-up and representations like JSON, XML etc. 
  • Extensive knowledge of and experience with crawling web pages and building systems to do so. 
  • Extensive knowledge and experience of working with Web APIs, in particular, in particular, REST services and JSON encoded responses. 
  • Experience with building systems at Internet Scales, that scale to terabytes or more of data, millions of API calls and thousands of requests/second. 
  • Experience with data extraction, scrapping / parsing / processing / semi-structured data, ETL toolsets and mechanisms. 
  • Experience in building robust, fault-tolerant, scalable and cost effective distributed system. 
  • Experience with Amazon Web Services or other cloud platform. 
  • Knowledge of Python / Django is a must. 


Selection Criteria:

The Candidate should have Crawling Experience of 2-3 years.

Skills Requirement:
  • Python, Web Scrapping, Scrapy, Django, RestAPI, postgresql / mysql, Linux, nginx, git. 
  • Machine learning. 
  • Text mining. 
  • Computational linguistics for Artificial Intelligence. 
  • Lexical analysis, design and implementation. 
  • Familiarity with few databases, like MySQL, PostgreSQL, MongoDb, RDS etc. 




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