Hi there! We are the Operations Forecasting Team.

We are involved in operational forecasting in retail: the team has many different areas — demand forecasting, courier forecasting, golden shelves, shift forecasting, and other projects that directly impact inventory management and logistics.

Our stack

• Python
• PySpark
• PostgreSQL
• ClickHouse
• Kafka
• Memcached
• Redis
• Hadoop
• Airflow

You will be

• Writing algorithms for processing large data (several hundred million rows in a table).
• Researching and preparing data.
• Optimizing current computations.
• Productizing algorithms and supporting them.
• Performing code reviews and incident analysis.

We value

• At least 2 years of experience as a Data Engineer.
• Higher mathematical or technical education.
• Proficient in Python, PySpark, SQL.
• Knowledge of Hadoop, HDFS, Hive architecture.
• Experience with version control systems (Git).

Will be a plus

• Experience with Go.
• Experience with Airflow.
• Experience with DBT.