Intermediate/Junior Python/Data Engineer

We create solutions that put the client at the center of marketing. Marketing activities begin with an understanding of the client's needs and behavior, not with a product or campaign.

The platform brings together three key components:

rich historical, real, and forecast customer data, AI-controlled orchestration of the client's multi-channel paths, and statistically reliable assessment of the impact of each marketing action.

This allows you to create personalized, efficient, and measurable marketing that is truly customer-oriented.

Requirements

• At least 3 years of experience with Python.
• At least 1 year of experience in data processing.
• Solid experience in SQL (advanced skills in DML).
• Hands-on experience with OLAP storage (at least one of Snowflake, BigQuery, or ClickHouse).
• Hands-on experience with data processing services (at least one of Apache Airflow, GCP Dataflow, Apache Hadoop, or Apache Spark).
• Experience in automated test creation (TDD).
• Experience in working with AI tools.
   

Advantages

• Being fearless of mathematical algorithms (part of our team’s responsibility is developing ML models for data analysis; although knowledge of ML is not required for the current position, it would be awesome if a person felt some passion for algorithms).
• Experience in any OOP language would be a plus.
• Experience with GCP would be a plus.
• Familiarity with Docker and Kubernetes.
• Experience with Terraform would be a plus.
   

What we offer:

• 20 working days’ vacation; 
• 10 paid sick leaves;
• public holidays;
• equipment;
• accountant helps with documents;
• many cool team activities.