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 environment. 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 remote work setupRequirements:
- 5+ years of experience in Data Engineering or Development
- Proficient in Python, PySpark, and Databricks
- Bachelor’s degree in STEM or related field
- Robust communication skills for remote collaboration
- Familiarity with Java and Spring framework is a plusShape the retail analytics landscape with robust data solutions at Randstad Canada.#J-18808-Ljbffr

📌 Remote Senior Data Developer Canada (Toronto)
🏢 Randstad
📍 Toronto