Description

You will design and build scalable data products for supply chain analytics, ensuring high-quality, governed data delivery across the enterprise.

This role is hybrid.

Responsibilities

• Design, build, and optimize ETL/ELT pipelines in Databricks using Python, PySpark, and SQL.
• Model and transform data from Oracle Cloud, SAP, Microsoft Dataflow, and Dataverse.
• Develop machine learning and AI-assisted solutions for forecasting, anomaly detection, and text analytics.
• Create Silver and Gold data products using Unity Catalog and Lakeflow.
• Document requirements, designs, and communicate technical decisions to business stakeholders.

Required Skills

• 7+ years of experience in SCM, analytics, or data product development.
• Advanced proficiency in Python and PySpark for large-scale data processing.
• Hands-on experience with Databricks notebooks, jobs, workflows, and SQL Warehouses.
• Strong SQL skills for data transformation and querying.
• Experience with Microsoft Power Platform (Copilot Studio, Dataflow, Dataverse, Power Automate).
• In-depth knowledge of SAP and Oracle Cloud SCM modules.
• Proficiency in data science, statistical analysis, and predictive analytics.

Preferred Skills

• Experience in the oil & gas industry.
• Knowledge of Alteryx for data preparation.
• Familiarity with prompt engineering and AI-assisted solution development.

Key Skills

Education

Bachelor's degree