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Développeur·euse de données

Montreal, QC, ca💼 Full-time🗓 2026-07-01 → 2026-07-31

Core

Design and deliver high-quality, performant data processing pipelines for the Player domain, transforming product analytics into technical specifications and ensuring data integrity for game experiences.

Role type

Senior Data Engineer (Cloud Data Pipelines)

Builds

Scalable data processing chains and data models for player analytics and business strategy alignment.

Domain

Video game industry / Cloud data engineering

Deliverable

production ML models | product features | infrastructure

Required skills

SQL, PySpark, Cloud data platforms (Databricks, Snowflake), Data pipeline design, Data quality metrics, Unit and functional testing, ETL process optimization

Preferred skills

Git version control, Proactive problem solving, Technical documentation

Technologies

PySpark, Databricks, Snowflake, Git

Responsibilities

Design and maintain reliable data processing pipelines; Transform product analytics into detailed technical specifications; Collaborate with architects to design efficient data models and tables; Define and monitor data quality indicators; Write and maintain test documentation; Monitor production environments; Optimize ETL processes.

Seniority

Mid-to-Senior, hands-on IC

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