Description

 Responsibilities:
•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 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 internal business stakeholders in clear and plain language

Key Skills

Education

Any Gradute