Develop cloud-native data platforms for Depop and eBay using Databricks, AWS, Airflow, and dbt to improve marketplace data reliability.

As a Data Engineer, you will build scalable infrastructure for real-time insights, analytics, and personalized experiences. Your work will span Databricks, AWS, Airflow, dbt, and automated data quality frameworks. You will collaborate with Product, Data Science, Analytics, and Engineering teams.

Key Responsibilities:
Develop scalable data platforms and services using Databricks and AWS
Build and manage complex workflows with Apache Airflow
Create reusable transformation patterns and high-quality datasets
Implement automated data quality and validation frameworks
Identify bottlenecks and recommend architectural improvements





Requirements:
Three or more years building pipelines, distributed systems, or backend services
Bachelor’s or master’s degree, or equivalent practical experience
Understanding of data structures, algorithms, concurrency, and multithreading
Experience with dbt or similar transformation frameworks
Understanding of distributed architecture, databases, modeling, and NoSQL

Use cloud data engineering, orchestration, transformation, and quality practices to strengthen critical eBay and Depop experiences.

📌 Cloud Data Platform Engineer Toronto
🏢 eBay
📍 Toronto