Intermediate Supply Chain Data Modeler

Randstad Canada

Build supply chain analytics with Python and Databricks as an Intermediate Data Modeler in Calgary’s hybrid oil and gas environment. This one-year contract connects data expertise with operational priorities.The Data Modeler develops analytics solutions for supply chain business problems using oil and gas context. You will design scalable pipelines, transform enterprise data, and create models for classification, forecasting, and anomaly detection. The work spans Databricks, PySpark, SQL, Oracle Cloud, SAP, Dataverse, and Microsoft Power Platform.Key Responsibilities:
Develop analytics solutions addressing supply chain business problemsDesign, build, test, and optimize Databricks ETL and ELT pipelinesTransform structured and unstructured enterprise platform dataBuild machine learning, statistical, and AI-assisted modelsMaintain architecture designs, assessments, and weekly project updatesRequirements:
Bachelor’s degree in Commerce, Data Science, Engineering, or related fieldFive to seven years of relevant experienceAdvanced Python, PySpark, Databricks, and SQL proficiencyHands-on Microsoft Power Platform experienceKnowledge of SAP, Oracle Cloud SCM, and Procure-to-Pay processesApply data modeling, scalable processing, and supply chain analytics skills to support high-impact oil and gas priorities.
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