Data Engineer

Your day-to-day responsibilities will include

• Creating and maintaining scalable data pipeline and analytics infrastructure.
• Build the infrastructure and processes required for optimal extraction, transformation and loading of data from a wide variety of data sources, using SQL and Airflow.
• Build the infrastructure required for real time data processing.
• Work in Google Cloud Platform oriented environment.

Requirements

• Advanced working SQL, Airflow and Python knowledge.
• Experience creating and optimizing big data processes, pipelines and architectures.
• Experience with streaming data sources.
• Knowledge of Google Cloud Platform tools.
• Knowledge of ML ops - advantage.
• Experience working with both relational and non-relational databases (BigQuery, BigTable, MySQL).
• Experience working with data pipeline and workflow management tools (Airflow).
• Mobile apps knowledge - advantage.
• Strong organizational skills.
• 5+ years of experience as Data Engineer.

They offer

• Official high salaries in accordance with BY legislation.
• International company and cross-team work with colleagues around Europe.
• Stock options grant.
• Extended medical insurance, sports.
• English classes, lunch compensation.
• Opportunities for professional growth and skills improvement.
• Regular corporate events.
• The company's offices are located in St. Petersburg, Minsk and Kiev.