<p>We’re seeking a <strong>BI Engineer</strong> who can design and optimize end‑to‑end analytics solutions leveraging <strong>Power BI</strong> and <strong>Microsoft Fabric</strong>. This role blends engineering, modeling, and performance optimization to support scalable reporting environments.</p><p><strong>What You’ll Do</strong></p><ul><li>Architect and maintain scalable BI solutions across Power BI and Fabric</li><li>Create and optimize semantic models, dataflows, and pipelines</li><li>Implement real‑time or near‑real‑time reporting frameworks</li><li>Build workspace structures, governance standards, and deployment processes</li><li>Partner with data engineering teams to ensure structured, high‑quality data</li><li>Troubleshoot data refresh, gateway, and performance issues</li></ul><p><br></p>
<p>We’re looking for a skilled <strong>BI Developer</strong> with strong experience in <strong>Power BI</strong> and <strong>Microsoft Fabric</strong> to support high‑visibility analytics initiatives. You’ll build dashboards, data models, and reporting solutions that drive real‑time insights across the organization.</p><p><strong>What You’ll Do</strong></p><ul><li>Develop and enhance <strong>Power BI dashboards</strong>, reports, and visualizations</li><li>Build and maintain data models using <strong>Microsoft Fabric</strong> (Lakehouse, pipelines, etc.)</li><li>Work with real‑time or frequently refreshed datasets</li><li>Collaborate with data engineers, analysts, and business stakeholders</li><li>Tune DAX, queries, and models for performance and scalability</li><li>Ensure data accuracy, consistency, and reliability across all reporting assets</li></ul><p><br></p>
<p>We’re looking for a <strong>Senior Data Engineer</strong> to design, build, and optimize modern data pipelines and architecture. You’ll support analytics, reporting, and data‑driven applications by creating scalable, efficient data systems across cloud environments.</p><p><strong>What You’ll Do</strong></p><ul><li>Design and build <strong>ETL/ELT pipelines</strong> across cloud platforms (Azure, AWS, or GCP)</li><li>Architect and maintain Data Lake / Lakehouse environments</li><li>Develop and optimize data ingestion, transformation, and orchestration workflows</li><li>Ensure data quality, reliability, and scalability across all pipelines</li><li>Collaborate with BI developers, analysts, and business stakeholders</li><li>Implement best practices around versioning, testing, and deployment</li><li>Support real‑time and batch data processing initiatives</li></ul><p><br></p>
