Position: Senior Data Engineer, Online Retailer
Company: DataArt
Category: SQL
Experience required: 3y
English level: intermediate

Over the years we helped the client develop web-portals, mobile apps, delivery control systems, staff management tools, data storage, and much more. The systems we’ve built together are in operation 24/7, contributing to the client’s success.

DataArt provides consultation and development of the software for the client in both areas of their activities: online sales and creation of the cross-functional retail platform.

The goal of the project is to create a modern product and supplier management system for an online retailer from the ground up. The system will focus on scalability to be able to manage an ever-expanding range of thousands of products sold in their online shop over multiple geographies, with composability and flexibility, data consistency as a master data system, usability, and lower operational costs.

Responsibilities

Work with business leaders and teams to collect and translate information requirements into data
Build, optimize and maintain conceptual and logical database models
Use industry-accepted data architecture principles and standards for modeling, stored procedures, replication, regulations, and security, among others, to meet technical and business goals
Streamline data flows and models; improve consistency, quality, accessibility, and security; unify data architecture; remove unnecessary costs; and, optimize database activity across company needs
Updating documentation and Jira as work progresses

Must have

Strong SQL skills
Experience with PostgeSQL, Oracle, PL/SQL, Python/Unix scripting skills
Experience in building and maintaining ETL/ELT pipelines
Experience of retail businesses and systems is a big plus
Familiarity with basic graphical modeling approaches, tools
Clear communication skills in English (written and spoken)
Attention to detail, problem-solving skills
Team player
A methodical approach. For example, instinctively break big tasks into smaller, logically sequenced pieces
Bias towards documentation and regular, succinct communication
Comfortable in an uncertain environment, where not all answers are known upfront
Able to set clear expectations assertively and tactfully
Working proficiency and communication skills in verbal and written English