Join our creative oil & gas client as a Senior Data Modeler. Leverage your expertise in Databricks, Python, and PySpark to design Supply Chain data products in a hybrid work environment. Our client is looking for a Data Modeler with 5–7 years of experience in supply chain management or product development within the oil & gas industry.

You'll be responsible for developing scalable data products to provide actionable insights and support various operational functions. This role demands proficiency in data modeling, analytics, and ETL/ELT processing, emphasizing tools like Databricks and Oracle Cloud. Key Responsibilities:

- Develop analytics solutions for Supply Chain challenges
- Design and optimize ETL/ELT pipelines with Databricks




- Transform data from Oracle Cloud, SAP, and others
- Build machine learning and statistical solutions
- Maintain documentation of designs and technical requirements Requirements:
- 5–7 years in SCM or product development
- Expertise in Databricks, Python, and PySpark
- Bachelor’s degree in relevant fields
- Familiarity with machine learning and analytics
- Knowledge of SAP and Oracle Cloud Elevate your career in the oil & gas sector by utilizing advanced data modeling and analytical skills in a dynamic environment.

📌 Senior Data Modeler for Supply Chain (Toronto)
🏢 S.i. Systems
📍 Toronto