Take the lead in developing centralized data feeds as a Senior Data Developer with Randstad Canada. Join a fully remote team and shape the future of analytics in retail. This role focuses on building a robust data pipeline from scratch in an Agile workplace.

Candidates must have 5+ years of experience in Data Engineering, leveraging tools like Python, Databricks, and Azure. You’ll join a tight-knit team of three, ensuring high quality and performance through established best practices while effectively communicating in a remote setup. Key Responsibilities:

�� Architect and maintain scalable data pipeline products
Leverage PySpark and Databricks for data transformation
Participate in Agile sprints and daily stand-ups
Establish data engineering best practices for high performance
Collaborate effectively in a fully work from home setup Requirements:
5+ years of experience in Data Engineering or Development
Proficient in Python, PySpark, and Databricks
Bachelor’s degree in STEM or related field
Solid communication skills for remote collaboration
Familiarity with Java and Spring framework is a plus Shape the retail analytics landscape with robust data solutions at Randstad Canada.

📌 Remote Senior Data Developer Canada Toronto
🏢 Randstad
📍 Toronto