Position: Data Engineer
Category: Data Science
English level: upper
Years of experience: 8

Create data model and develop and deploy algorithm to calculate monthly search volume based on Google Trends;
Develop data validation for all ETL pipelines;
Develop CLI based service for automated tableau reports publishing;
Optimize SQL queries;
Develop forecasting and planning processes that required minimum human interactions;
Create a fully automated project's performance reporting system;
Based on statistics methodology develop fraud detection algorithms and reports;
Developed pipeline with acquiring third-party data,  uploading to the data lake, and further delivering to ML systems.
Design and develop ETL pipelines;
Design and develop reporting platform with over 1000+ client reports;
Integrate third party data;
Design and develop data lake;
Looking for challenging and interesting tasks where I can gain data mining, machine learning skills. I like python, and looking for an opportunity to improve my programming skills. Friendly colleagues.

Product company only.