Job Description:
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Design optimized data models for retail & consumer analytics use cases
-
Build fact and dimension models using Databricks SQL
-
Develop transformations using PySpark / SQL in Databricks
-
Apply Unity Catalog for data governance and access control
-
Build Sales Marketing and Supply Chain analytical datasets
-
Define KPI calculations for sell-in sell-out inventory and promotions
-
Ensure correct data grain and aggregation logic
-
Collaborate with data engineers on ingestion dependencies
-
Validate optimized layer data against source systems
-
Prepare datasets for Power BI semantic models and reporting
-
Ensure model reusability across reporting and analytics use cases
-
Apply global naming and modeling standards
-
Document business logic KPIs and assumptions
-
Support UAT and business walkthroughs
-
Support final handover and knowledge transfer
Job Description: Design optimized data models for retail & consumer analytics use cases Build fact and dimension models using Databricks SQL Develop transformations using PySpark / SQL in Databricks Apply Unity Catalog for data governance and access control Build Sales Marketing and S...
Job Description:
-
Design optimized data models for retail & consumer analytics use cases
-
Build fact and dimension models using Databricks SQL
-
Develop transformations using PySpark / SQL in Databricks
-
Apply Unity Catalog for data governance and access control
-
Build Sales Marketing and Supply Chain analytical datasets
-
Define KPI calculations for sell-in sell-out inventory and promotions
-
Ensure correct data grain and aggregation logic
-
Collaborate with data engineers on ingestion dependencies
-
Validate optimized layer data against source systems
-
Prepare datasets for Power BI semantic models and reporting
-
Ensure model reusability across reporting and analytics use cases
-
Apply global naming and modeling standards
-
Document business logic KPIs and assumptions
-
Support UAT and business walkthroughs
-
Support final handover and knowledge transfer
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