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Job Description
Data Engineering
- Build and maintain PySpark, Spark SQL, and Delta Lake pipelines on Azure Databricks.
- Consolidate multi?source logistics and supply chain data into governed semantic models.
- Re?platform legacy SQL Warehouse pipelines to Delta Lake.
- Create harmonized Databricks views unifying siloed data.
Analytics & Reporting
- Develop enterprise Power BI dashboards and Databricks SQL models.
- Deliver cost?per?pack and logistics cost?avoidance analytics identifying major supply?chain savings.
- Engineer rate?card cost engines across multiple charge/UOM types.
Stakeholder Engagement
- Work directly with global business teams across pharmaceutical & CPG supply?chain functions.
- Perform multi?layer data discovery across SAP?replica, trusted, and unified datasets.
- Resolve production data defects, JOIN issues, and eliminate erroneous records.
Operational Ownership
- Manage quarterly production refreshes for ML?based anomaly?detection pipelines across 120+ countries.
- Diagnose and resolve live production issues such as schema mismatches, cluster oversubscription, and Spark OOM failures.
- Rationalize and migrate large volumes of business reporting tools.
Training & Capability Building
- Deliver Databricks Lakeflow (DLT) training to colleagues.
- Build synthetic datasets and AI/Genie Space demos for enterprise capability showcases.
Skills
SQLData EngineeringPower BIPySparkDatabricksAzureSAPSupply ChainLogisticsTeamsIf a job posting appears fraudulent, asks for payment, contains misleading information, or violates our guidelines, please report it immediately. Our team will review it promptly, Jobaaj does not charge any fee from the applicants.
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