🛠 Tech Stack

💼 About This Role

You'll design and optimize data pipelines in Snowflake to power user analytics and machine learning models for a global gaming commerce platform. Your work will drive churn prediction and recommendation engines that impact millions of gamers. You'll mentor junior engineers and collaborate across teams to ensure compliance and governance of user data.

🎯 What You'll Do

• Design and build ETL workflows in Snowflake using Snowpark and Streams.
• Develop scalable data models for user 360 views and churn prediction.
• Integrate data from MySQL, BigQuery, Redis, Kafka, and GCP Storage.
• Implement CI/CD for data pipelines using Git, dbt, and automated testing.

📋 Requirements

• 5+ years in data science with 3+ years in Spark framework.
• Strong SQL and Python skills with ETL/ELT at scale experience.
• Deep understanding of algorithm performance tuning and query optimization.
• Experience with data pipeline orchestration (Airflow, Prefect, dbt, or similar).

✨ Nice to Have

• Experience leading machine learning teams or deploying ML feature pipelines.
• Background in ad-tech, gaming, or e-commerce recommendation systems.
• Familiarity with data contracts and feature stores (Feast, Tecton).

🎁 Benefits & Perks

• 🏖️ Remote work flexibility from anywhere in Canada.
• 💰 Competitive salary with annual bonus potential.
• 🏥 Health insurance including dental and vision.
• 📈 Stock options for long-term growth.
• 🏋️ Wellness program and gym membership reimbursement.