Fabric Data Engineer

Design, implement, and manage ETL/ELT workflows within Microsoft Fabric, ensuring efficient data ingestion, transformation, and delivery. Build and maintain Delta Lake solutions within a Medallion Architecture framework (Bronze, Silver, Gold layers), applying best practices for data quality, validation, and deduplication. Integrate data from multiple internal and external systems using cloud-native services. Monitor pipeline performance, proactively troubleshoot issues, and resolve bottlenecks. Collaborate with analysts and stakeholders to understand business requirements and translate them into scalable technical solutions. Develop analytical and dimensional data models optimized for reporting and self-service analytics. Build and maintain Power BI semantic models, reports, and dashboards as needed. Ensure datasets are well-documented, discoverable, and reliable for downstream use. Establish and operate agentic AI-assisted engineering workflows that generate the majority of transformation, pipeline, and documentation code upfront. Leverage AI tooling to increase development velocity, improve code quality, and enhance consistency across data products. Continuously refine AI usage patterns while maintaining quality, security, and governance standards. Maintain comprehensive technical documentation for all ETL processes, data logic, and system architecture. Conduct testing and validation of data flows to ensure accuracy and compliance with data governance standards. Contribute to and adhere to established coding, architecture, and documentation standards. Travel may be required occasionally to subsidiary sites and training opportunities.