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Lead Data Engineer Azure Databricks
Casablanca
  • Participate in the technical scoping of the project and the analysis of data sources.
  • Perform Data Mapping between Apollo data in the Silver layer and existing commercial data in the Platinum layer.
  • Design transformation and data joining rules.
  • Develop transformation pipelines using Databricks / Microsoft Fabric.
  • Develop the PySpark and SQL scripts required to create the Platinum Merchandising tables.
  • Cross-reference Apollo spatio-temporal data with sales, stock, and markdown facts.
  • Implement the data models required for Merchandising analysis.
  • Ensure the quality, consistency, and reliability of the produced data.
  • Participate in technical testing and the validation of transformations.
  • Collaborate with the Business Analyst and Power BI Data Analyst to ensure alignment between produced data and decision-making needs.
  • Contribute to technical documentation and knowledge transfer.


    • Profile

  • Over 5 years of experience in Data Engineering.
  • Proficiency in Azure Databricks.
  • Proficiency in PySpark and SQL.
  • Experience with Microsoft Fabric.
  • Strong understanding of Data Lake / Lakehouse architectures and data layers.
  • Experience in complex decision-making modeling.
  • Proficiency in spatio-temporal data joins and transformations.
  • Experience in building data pipelines and analytical tables.
  • Good understanding of data quality, performance, and reliability challenges.
  • Experience in Retail / FMCG is an asset.


    • Apply
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