Data Pipeline Development Design, build, and maintain scalable data pipelines for ingesting and transforming data from multiple source systems (e.g., ERP, CRM, manufacturing systems). Develop ETL/ELT processes using Microsoft Fabric Data Factory, Notebooks, and Dataflows. Ensure efficient data movement, transformation, and orchestration. Identify opportunities to automate data workflows and improve pipeline efficiency
Data Architecture & Modeling Design and maintain the data architecture within Microsoft Fabric / selected data platform, including lakehouse and warehouse structures. Implement scalable data models optimized for reporting and analytics. Define best practices for data structure, partitioning, and performance optimization.
Data Integration Integrate data from enterprise systems such as ERP, MES, CRM, and other operational databases. Build connectors and ingestion pipelines for structured and semi-structured data. Support real-time or near real-time data integration where required under consideration of cost-benefit optimization.
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