SCM Data Modeler

About the role

SCM Data, Innovation analytics is seeking a Data modeler with strong Databricks expertise to design, build, and operationalize scalable Supply Chain data products that deliver measurable business value for Supply Chain.

The role combines advanced analytics, data pipeline development, and product delivery to turn complex SCM data into trusted, governed, and actionable insights.

Tasks

• Develop analytics solutions that address Supply Chain business problems, leveraging knowledge of oil amp; gas operations, procurement, supplier performance, spend analytics, and enterprise value drivers.
• Design, build, test, and optimize scalable ETL/ELT pipelines in Databricks using Python, PySpark, SQL, notebooks, jobs, and pipeline orchestration patterns to support reliable Silver and Gold data products.
• Transform and model data from ERP and enterprise platforms, including Oracle Cloud, SAP, ADW, Microsoft Dataflow, Dataverse, and other approved data sources.
• Build and evaluate machine learning, statistical, and AI-assisted solutions where appropriate, including classification, forecasting, anomaly detection, text analytics, and natural language processing on structured and unstructured SCM data.
• Use Databricks platform capabilities such as notebooks, jobs, workflows, Unity Catalog, SQL warehouses, Genie Code, and Lakeflow/Lakeflow Designer where approved to accelerate development while maintaining enterprise standards.
• Maintain documentations, including idea assessments, requirements, design documents, and weekly status reports.
• Articulate technical knowledge, requirements, design and product details to int

Schedule

• ONSITE

How to apply

• Send resumes.

Location

• Houston, TX