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 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 - Robust 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.#J-18808-Ljbffr