Position: Data Engineer
Company: NCube
Experience required: 2y
English level: upper

The client is an AI-powered enterprise portal platform optimized for market research and competitive intelligence, designed to serve complex, global organizations, without adding a heavy burden on IT. 

 
Project – is a custom-built enterprise knowledge management platform that seamlessly integrates and enables full-text search of all your research resources to create an invaluable market research/competitive intelligence portal. 

 

Experience / Skills required: 

 

Must have: 

 

2-3+ years of experience with one or more general purpose programming languages, including Perl and Python  

Experience in large scale data processing using traditional and distributed systems  

Experience designing and operating data models and data warehouses as well as experience in SQL and NoSQL database management systems 		 

Experience with a continuous integration build system 	 

Experience with git and docker 				 

Effective project management, problem solving, analytical and troubleshooting skills 		 

Knowledge of Test Driven Development (TDD) 		 

Understanding of secure coding standards 

Upper-Intermediate English and better 

 

Good to have: 

 

Excellent troubleshooting skills 

Desire to learn 

Communication skills and open-mindedness 

 

Responsibilities: 

 

Manages the flow of data from source to user, working in a fast paced and cooperative environment 

Designs and creates services to collect data from wherever it is published and in any format and prepares data for text extraction and natural language parsing tools, OCR, text analytics, and de-chroming 

Designs and creates services to build, index and serves big data collection to users in enterprise search systems 

Develops, constructs, tests and maintains data architectures 

Identifies ways to improve data reliability, efficiency and quality 

Uses large data sets to address business issues for customers 

Deploys sophisticated analytics programs, machine learning and statistical methods 

Prepares data for predictive and prescriptive modeling 

Troubleshoots and solves document flow and accessibility issues and communicating findings to the Content Operations Team and Project Managers 

 

We offer:  

 

Competitive salary with the regular review 

Flexible working schedule, fully remote work opportunities, office in the very center of Kyiv  

Taxes compensations, accountant assistance  

Vacation (up to 20 working days) 

Paid sick leaves (10 working days) 

Medical Insurance after probation period (3 months)  

Online English courses 

Direct cooperation with the customer 

Great working environment and team spirit