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Design and implement data warehouse architectures (star/snowflake schemas) Develop fact and dimension tables for reporting and analytics Translate business requirements into scalable data models Build and maintain ETL/ELT pipelines using Microsoft tools Integrate data from ERP (SAP S/4 HANA), CRM, APIs, and flat files Optimize pipelines for performance, reliability, and cost Develop solutions using SQL Server, T-SQL, SSIS, Azure Data Factory, and Azure Synapse Work with Azure SQL Database and Microsoft Fabric (Lakehouse, Data Warehouse, OneLake) Support integration with Power BI semantic models and reporting Improve query performance, indexing, and partitioning Monitor and resolve data pipeline and ...
About the Role
Primary Responsibilities
Data Warehouse Development
ETL / Data Integration
Microsoft Technology Stack
Performance & Optimization
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