More jobs:
Data Engineer; Databricks & Supply chain
Job in
Houston, Harris County, Texas, 77246, USA
Listed on 2026-07-27
Listing for:
Zobility
Full Time
position Listed on 2026-07-27
Job specializations:
-
IT/Tech
Data Engineering, Data Analyst
Job Description & How to Apply Below
- 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.
- Develop analytics solutions that address Supply Chain business problems, leveraging knowledge of oil & 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 Lake flow / Lake flow 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 internal business stakeholders in clear and plain language.
- Experience:
5–7 years of relevant SCM or product development experience. - Advanced proficiency in data science, including statistical analysis, predictive analysis, text-based sentiment analysis, machine learning, and data visualization.
- Advanced proficiency in analyzing unstructured data such as PO line descriptions, customer feedbacks to extract insights
- Advanced proficiency in Python and PySpark in conjunction with Databricks for large-scale data processing.
- Hands-on knowledge with prompt engineering
- Hands-on experience in developing solutions using Microsoft Power Platform (Copilot Studio, Dataflow, Dataverse, Power Automate, and Model-driven Apps) for workflow automation and low-code development.
- In-depth knowledge of SAP and Oracle Cloud (SCM, A/P, Projects, Finance).
- Proficiency in SQL for data transformation is an asset.
- Experience with Alteryx for data preparation and workflow automation is an asset
- Industry Knowledge:
Oil and gas sector, SCM Procure-to-Pay / Source-to-Pay processes and value drivers. - Project Management:
Skilled in agile/waterfall methodologies, stakeholder engagement, Project documentation (Power Point, Excel, Visio, etc).
- Bachelor's degree in Commerce (SCM), Data Science, Engineering, or related field
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