Description:
Key Responsibilities Design and implement ETL pipelines using Microsoft Fabric (Dataflows, Pipelines, Lakehouse ,warehouse, sql) and Azure Data Factory. Build and maintain a metadata driven Lakehouse architecture with threaded datasets to support multiple consumption patterns. Develop agent specific data lakes and an orchestration layer for an uber agent that can query across agents to answer customer questions. Enable interactive data consumption via Power BI, Azure OpenAI, and other analytics
Jan 23, 2026;
from:
dice.com