Position: Data Engineer / Data Platform Engineer / SE in Data Engineering team
Category: Python
English level: upper
Years of experience: 5


I have more than 5 years of working with a data engineering stack from classic DWH with RDBMS to the data lake and cloud services. 
My tasks were tied but not limited to:
- data modeling;
- writing and optimizing complex ETL/ELT pipelines with vague requirements;
- performing data analysis and exploratory analysis;
- migration of data pipelines;
- writing tests for data pipelines;

As a Platform Data Engineering, I have had the experience:
- extending Airflow functionality;
- building and adopting data lineage solution in the data lake;
- creating a linter framework for Trino;
- writing a solution for naming convention propagation;
- creating other tools and services to enhance the productivity of data consumers;
- conducting POC (gathering requirements and documentation, preparing the environment, examining solution/using the tool, preparing summary and evaluation);
- investigation of different kinds of bad practices in data pipelines. Fixing error-prone code in ETLs (automatically, if possible);
- writing documentation;
- participating in post mortems.
I will be happy:
- to have the ability to write also Scala code;
- working in a team that cares about continuous data testing/monitoring;

I'm not interested in offerings that include:
- a lot of visualization work(Tableau Power BI, etc);
- only Microsoft stack;
- only Oracle stack;