Thrasio is one of the fastest-growing Amazon third-party FBA brand acquisition companies. It was established in 2018 with a clear mission: to become the largest, most profitable seller on Amazon. Since then, our growth has been dramatic. Thrasio reached $1B Valuation in July 2020.

Required skills

Job summary:

Our Data Analytics team is growing, we are seeking a Data Quality Engineer. Ideal candidate will have a passion for data quality and working with large data sets. 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;
— 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;
— Fluent written and spoken English.

As a plus

— Familiarity with data analysis tools like Great Expectations;
— Python data analysis libraries Pandas, NumPy, Pyodbc, Psycopg2;
— AWS services including S3, Redshift;
— Experience in Airflow.

We offer

— 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.

Responsibilities

— 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;
— Participate in the design process to better understand the project to ensure the team delivers;
— Investigate ETL workflows;
— Assist in defining new and refining existing processes and procedures;
— Create and execute automated verification scripts;
— 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.

About Proxet

Proxet is a custom web, mobile and software development company offering customized and tailored technology solutions to a wide range of clients. With over 10 years of experience in building complex solutions for enterprise-level businesses, SMBs, and startups, Proxet has delivered over 100 projects in Healthcare, Marketing, Financial Services, Retail, Real Estate, Aerospace & Automotive verticals. As a custom software development company, Proxet also provides thought leadership and advisory services to fast-growing startups and Fortune 500 companies.

About us:
10+ years in software development
4 offices globally
150% company growth within 2 years
200+ engineers & experts
90% of our projects incorporate ML/AI
30+ early-stage & VC-backed startups
Enterprise clients with over $1B+ in revenue

What we do:
— Neural networks
— Computer Vision & Image Recognition
— Natural Language Processing
— Chat Bots
— Data Mining
— Voice Technology
— Big and Small Data Processing
— Building semantic analysis
— iOS and Android development
— Main languages: Java, .Net, Ruby, Python, Scala, JavaScript

Company website:
https://nation.proxet.com/

DOU company page:
https://jobs.dou.ua/companies/proxet/

Job posted on 21 May 2021
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