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Job Description & How to Apply Below
- 8+ years of experience in data modeling, ETL development, data engineering, or related roles.
- Strong hands-on experience with Databricks and PySpark.
- Proficiency in SQL and relational database concepts.
- Strong understanding of ETL/ELT development, data warehousing, and data integration.
- Experience designing dimensional data models, star schemas, and fact/dimension tables.
- Knowledge of Delta Lake, Lakehouse architecture, and medallion architecture.
- Experience with supply chain data domains, including inventory, procurement, logistics, order management, or demand planning.
- Hands-on experience with data transformation, data cleansing, and data quality validation.
- Experience with Azure, AWS, or other cloud data platforms.
- Strong analytical, problem-solving, and communication skills.
Preferred / Nice-to-Have Skills
- Experience working with SAP SCM, SAP MM, SAP SD, SAP IBP, or other ERP systems.
- Experience with supply chain platforms such as Kinaxis, Blue Yonder, or Oracle SCM.
- Knowledge of Azure Data Factory, AWS Glue, or similar orchestration and ETL tools.
- Experience with Power BI or other reporting and visualization tools.
- Familiarity with Git, CI/CD, and automated deployment pipelines.
- Knowledge of data governance, metadata management, and enterprise data architecture.
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