<p><strong>About the Role: </strong>We’re seeking a <strong>Data Engineer</strong> with strong experience in <strong>Microsoft Fabric</strong> to design and optimize data pipelines that power analytics and business intelligence. This role is ideal for someone passionate about building scalable data solutions and leveraging modern cloud technologies to drive insights.</p><p><br></p><p><strong>Key Responsibilities:</strong></p><ul><li>Design, build, and maintain data pipelines using <strong>Microsoft Fabric components</strong> (Lakehouse, Azure Data Factory, Data Warehouses, Notebooks, Dataflows).</li><li>Develop ETL processes for structured and unstructured data across multiple sources.</li><li>Collaborate with data scientists and analysts to deliver high-quality, reliable data solutions.</li><li>Implement best practices for data governance, security, and compliance.</li><li>Monitor and optimize data infrastructure for performance and scalability.</li></ul>

<p><strong>Qualifications:</strong></p><ul><li>Bachelor’s or Master’s in Computer Science or related field.</li><li>5+ years of experience in <strong>data engineering</strong>, including data modeling and ETL processes.</li><li>Hands-on experience with <strong>Microsoft Fabric</strong>, Azure Data Factory, and cloud-based data platforms.</li><li>Proficiency in <strong>SQL, Python</strong>, and data pipeline frameworks (PySpark, Spark SQL).</li><li>Strong understanding of data warehousing concepts and BI tools (Power BI preferred).</li><li>Excellent problem-solving and communication skills.</li></ul><p><strong>Preferred Skills:</strong></p><ul><li>Experience with enterprise data modeling on Azure.</li><li>Familiarity with Agile methodologies and data governance frameworks.</li><li>Knowledge of Salesforce data structures is a plus.</li></ul>

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