Position: Big Data Engineer
Category: Data Science
English level: upper
Years of experience: 2

Helped the customer to enter the market in another region faster by building an Ml platform in a short time
1) Development of a service for automatic detection of anomalies in the fuel system. 
Responsibilities:
Creating data lake and MLOps process
Development of PySpark pipelines for data preparation for training models
Implementation of the orchestration of model training and prediction pipelines using Airflow 
Mentoring interns and knowledge transfer to new project participants during their onboarding 
2) Development of an Ml platform for a pharmaceutical company.
Responsibilities:
Development of Terraform scripts
Development of pipelines for model training
Leading a team of 4 people
Discussion of requirements with the customer
Conducting a demo
3) Development of a data governance solution for all internal services of the company. 
Responsibilities:
Development of connectors for data ingestion from various internal services
Development of data access differentiation
Architecture development
4) Development of a recommendation system for e-commerce
Responsibilities:
Building pipelines for data processing
Delta Lake development
Building pipelines for setting ML models for production
Interested in any complex tasks related to the construction of highly loaded pipelines