Title: Microsoft Fabric Data Engineer
Location: Inglewood CA-Hybrid
Duration: Permanent/Direct Hire/Full-Time
Top 3 must-haves
Modern Microsoft data stack: Hands-on with Microsoft Fabric Lakehouse and medallion modeling Azure SQL DB and/or PostgreSQL and refactoring Power BI semantic models into Fabric.
Source integrations that matter: Proven ingestion and modeling for Dynamics 365 Commerce and CRM plus Adobe AEP (CDP CJA AJO Target AEM) including transforming data for activation.
Real-time data engineering: Kafka in production as a harder requirement with SQL and Python or PySpark for streaming transformations monitoring and minute-level freshness where needed.
Nice to have (still valuable): Azure Data Factory or Fabric Data Pipelines Purview for governance experience coordinating with offshore teams and clear runbook/documentation habits.
Stack: Microsoft Fabric OneLake Power BI
Must have: Kafka Dynamics 365 Adobe AEP
Work style: Real-time or near real-time pipelines
Modeling: Lakehouse with medallion layers
Tools: Azure Data Factory or Fabric Data Pipelines Purview
Benefits: Competitive package including medical dental vision 401(k) with company contribution well-being allowance and additional perks
Title: Microsoft Fabric Data Engineer Location: Inglewood CA-Hybrid Duration: Permanent/Direct Hire/Full-Time Top 3 must-haves Modern Microsoft data stack: Hands-on with Microsoft Fabric Lakehouse and medallion modeling Azure SQL DB and/or PostgreSQL and refactoring Power BI semantic models into Fa...
Title: Microsoft Fabric Data Engineer
Location: Inglewood CA-Hybrid
Duration: Permanent/Direct Hire/Full-Time
Top 3 must-haves
Modern Microsoft data stack: Hands-on with Microsoft Fabric Lakehouse and medallion modeling Azure SQL DB and/or PostgreSQL and refactoring Power BI semantic models into Fabric.
Source integrations that matter: Proven ingestion and modeling for Dynamics 365 Commerce and CRM plus Adobe AEP (CDP CJA AJO Target AEM) including transforming data for activation.
Real-time data engineering: Kafka in production as a harder requirement with SQL and Python or PySpark for streaming transformations monitoring and minute-level freshness where needed.
Nice to have (still valuable): Azure Data Factory or Fabric Data Pipelines Purview for governance experience coordinating with offshore teams and clear runbook/documentation habits.
Stack: Microsoft Fabric OneLake Power BI
Must have: Kafka Dynamics 365 Adobe AEP
Work style: Real-time or near real-time pipelines
Modeling: Lakehouse with medallion layers
Tools: Azure Data Factory or Fabric Data Pipelines Purview
Benefits: Competitive package including medical dental vision 401(k) with company contribution well-being allowance and additional perks
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