Senior Python Data Engineer

The company is the first Customer-Led Marketing Platform. Its solutions ensure that marketing always starts with the customer instead of a campaign or product. It is powered by the combination of 1) rich historical, real-time, and predictive customer data, 2) AI-led multichannel journey orchestration, and 3) statistically credible multitouch attribution of every marketing action.

Requirements:

• At least 5 years of experience with Python
• At least 3 years of experience in processing structured terabyte-scale data (processing structured data of several hundreds of gigabytes).
• Solid experience in SQL and NoSQL (ideally GCP storages Firestore, BigQuery, BigTable and/or Redis, Kafka).
• Hands-on experience with OLAP storage (at least one of Snowflake, BigQuery, ClickHouse, etc).
• Deep understanding of data processing services (Apache Airflow, GCP Dataflow, Hadoop, Apache Spark).
• Proven experience in DevOps.
• Experience in automated test creation (TDD).

• Freely spoken English.

   

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.
• Familiarity with Docker and Kubernetes.
• Experience with GCP services would be a plus.
• Experience with IaC would be a plus.
• Experience in Scala.