Data Engineer (Hospitality Industry)

Львів
Company Background

Our client is a global leader in strategic enterprise solutions for the restaurant, cruise, foodservice and hospitality industries. The company allows organizations to centrally set-up, standardize and control all restaurant data at the corporate level, ultimately ensuring business rules and goals are in place across all locations. The company’s mission is to provide exceptional tools and solutions to help the company`s customers reduce food & beverage costs, drive labor efficiencies, and better manage the quality and consistency of their food service operations.

Project Description

The team creates bi-directional real-time integration to every POS that our customers deploy. The ideal candidate is someone who enjoys integration, continual learning, and a fast-paced development environment. If you possess a drive for excellence, thrive in a fast-paced environment, and desire to be part of a team that is dedicated to being an industry leader, then we want to hear from you.

Technologies
MySQL
Snowflake
Python
AWS
SVN
Jenkins
.Net
Job Requirements
  • 5+ years professional development experience;
  • Exceptional analytical and problem-solving skills, detail-oriented mindset;
  • Strong interpersonal skills as this position will interface with many levels both inside and outside of our organization;
  • Fundamental understanding of common data structure and algorithms;
  • Strong background with data transformation and management in both structured and semi-structured data;
  • Strong design and development experience using SQL, PL/SQL in Oracle, MySQL, or MS SQL;
  • Experience building and consuming both RESTful and SOAP based web services a plus;
  • Proficiency in manual and automated testing;
  • Experience building data process automation with effective monitoring and alert preferred;
  • Working knowledge of Cloud computing services in AWS preferred;
  • Experience in parallel processing large data sets with scalable hardware preferred;
  • Proficiency in database query tuning preferred;
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