This position is closed

Data Engineer For Thrasio

AirFlow AWS CircleCI Docker Kubernetes

We are looking for people who look at the world differently, people who are passionate about making sense out of huge amounts of data, who explore, analyze, and lead the solutions they envision. If you are an engineer that is passionate about developing an innovative product, making an impact, and strive to work with the industry’s best talent as part of one of the fastest growing and successful companies around — join Thras.io.

ABOUT PROJECT:

Thrasio is the consumer goods company reimagining omnichannel commerce and consumer products, and boasts an innovation engine that brings high-quality products to market across digital marketplaces, channels, and retailers globally.

With the experience of evaluating more than 6,000 Amazon companies, acquiring over 130 top-rated brands, and managing the scale of 22,000 products, Thrasio is the largest acquirer of Amazon FBA brands. Since our founding in 2018, the team has grown to more than 1,000 people globally–most of that growth has occurred during the COVID-19 pandemic.

project tech-stack

What we looking for

Requirements:

Data engineering experience;
Experience working with 3rd party API services;
A clear understanding of ETL and data curation;
Strong experience and understanding of relational and distributed databases (including internals) (e.g. PostgreSQL, MySQL, etc.), experience in working with databases using pure SQL-queries;
Strong experience with AWS and Docker;
Strong expertise in Python;
Experiences in OOP, Design Patterns, design principles (SOLID, DRY, KISS, YAGNI);
Work experience with Python modules and libraries Pandas, Numpy, Unit tests, Pytest, Selenium, Boto3, Django;
Experience in using code linters such as Flake8 and Pylint;
Knowledge of PEP8 standard;
Experience with continuous integration, test automation, and deployment;
Experience with data monitoring and tracing in distributed and service-oriented systems;
Experience in distributed systems design and best practices;
Good written and spoken English.

Will be a plus:

Experience with data monitoring and tracing in distributed and service-oriented systems;
Experience in distributed systems design and best practices;
Work experience and knowledge of GraphQL and libraries such as Graphene or Ariadne;
Understanding of integration with BI tools;
Knowledge and work experience of using Kubernetes, Helm Charts, Terraform;
Python libraries/modules/tools: Apache AirFlow, threading, asyncio;
Javascript: Node JS + Frontend part (ReactJS, Next.js, Kendo UI).

Challenges

Responsibilities:

Work with the data engineering team and design the data platform;
Systematically work on formalizing business processes, customer acquisition; lifecycles, and the overall data framework;
Actively participate in the development.

company information:

Proxet Nation

We at Proxet believe that employee collaboration is the key to success. Our employees feel valued, listened to, and involved this way, and we are proud to say that our people are our biggest asset!

If you’d like to join our Proxet Nation and work closely with high-level professionals and our engineers, fill the form!