Position: Data Engineer
Category: Data Engineer
English level: upper
Years of experience: 3

Achieved:
* built various data services/integrations from scratch and reached desired reliable performance rate;
* improved various existing solutions with cost, resource consumption optimization in mind. In several cases reached 5 figures worth of optimization effect;
* set up several knowledge sharing team activities, which lead to positive impact on team performance, new tech/approaches adoption rate;
* successfully launched 4 Python- and data- related courses. Reached 75-95% student participation rate and high GPA according to university-standardized measurement tool.
Gained experience:
- built and maintained various data services/integrations using python 3 stack, dagster orchestrator, dbt and postgres/redshift DBs;
- maintained code quality with unittests (pytest), loadtests (via locust), black, ruff and related.
- set up and maintained data quality with great expectations / dbt tests;
- wrote and maintained easy understandable documentation;
- created data acquiring utilities for non-api sources using Scrapy, Selenium;
- created data visualizations using scikit, matplotlib-related, Altair-related, Jupyter Notebooks/Colaboratory tools.
Looking for a Data engineer position in a data-driven company. Preferable to work with dagster+dbt based ETL/ELT stack.

Expect a collaborative / friendly environment with a "growth mindset in the air".

Expect possibilities to form / impact on decisions about approaches, tooling, tech stack.