Position: Data Quality Automation Engineer for Thrasio
Company: Proxet
Category: QA Automation
Experience required: 5y
English level: upper

The Data Quality Automation Engineer will have a passion for data quality, working with large data sets, and managing a team of direct reports. The successful candidate will work to ensure the quality of the data and its collection.

Skills & Experience:

— Hands-on scripting experience using Python or similar scripting languages;
— Knowledge of and experience working with Selenium, Postman;
— Experience building and automating testing frameworks around data ingestion pipelines for master data management;
— Solid skills in writing and understanding SQL queries;
— Familiar with CI/CD principles and best practices in data processing;
— Еxperience in Data Validation, Data QA, Pipelines, ETL;
— Desire to lead a team;
— Fluent written and spoken English.

Буде плюсом
— An understanding of web standards, principles of progressive enhancement, and web accessibility;
— An excellent eye for design and drive to achieve pixel-perfect templates;
— Experience working closely with UX designers;
— Knowledge of jQuery or other modern front-end libraries and web frameworks;
— Experience with JavaScript libraries for building user interfaces such as Backbone or React;
— Experience with CSS libraries such as Sass or Stylus;
— Start-up mindset;
— Experience with cloud technologies such as Amazon Web Services (AWS);
— Strong desire to make fun, creative interactive features;
— Sense of humor and love of GIFs are absolutely mandatory.

Пропонуємо
— Challenging work in an international professional environment;
— The long-standing team as this is for a long term project;
— Competitive salary;
— Flexible work-from-home & remote work policy;
— Mastering the English language with a native speaker;
— 40-hour work week with flexible working hours;
— PE accounting and support;
— 20 paid vacation days per year;
— 14 paid sick days per year;
— Collaborative friendly team environment;
— Cozy fully equipped office space in the city center.

Обов’язки
— Perform hands-on testing of new pipelines and regression testing;
— Utilize Python and SQL to perform data quality control;
— Assist team in writing test documents test plan, test cases, and test summaries;
— Liaise with various groups including Data Analysts, Data Engineers, Product and Delivery Manager;
— Create reports, dashboards to provide insight into testing, test coverage and alerts;
— Design data quality checks and testing framework to investigate the data within the pipeline.