<p>We are seeking a <strong>Senior Data Engineer</strong> to join a growing data and analytics team responsible for building modern, cloud-based data platforms that drive business intelligence, reporting, and advanced analytics. This role is ideal for someone with deep expertise in <strong>Microsoft Azure</strong>, <strong>Microsoft Fabric</strong>, and modern data engineering practices.</p><p>You will be responsible for designing and developing scalable data solutions, optimizing data pipelines, and helping shape the organization&#39;s data architecture strategy. The ideal candidate is both hands-on and strategic, with experience building enterprise data platforms in Azure and Fabric environments.</p><p>Responsibilities</p><ul><li>Design, develop, and maintain enterprise data solutions using <strong>Microsoft Fabric</strong> and <strong>Azure Data Services</strong>.</li><li>Build and optimize scalable ETL/ELT pipelines for structured and unstructured data sources.</li><li>Develop and manage data lakes, lakehouses, warehouses, and semantic models.</li><li>Design data integration solutions using Fabric Data Factory, Dataflows, and Azure Data Factory.</li><li>Implement data governance, security, quality, and monitoring frameworks.</li><li>Partner with business stakeholders to understand reporting and analytics requirements.</li><li>Support Power BI developers by building trusted, high-quality data models and datasets.</li><li>Optimize data storage, query performance, and platform scalability.</li><li>Develop data architecture standards, best practices, and documentation.</li><li>Collaborate with application development teams to integrate operational systems with enterprise analytics platforms.</li><li>Support real-time and batch data processing initiatives.</li><li>Participate in architecture reviews, code reviews, and technical leadership activities.</li></ul><p><br></p>

<p>Required Qualifications</p><ul><li>7+ years of Data Engineering experience.</li><li>Strong expertise with:</li><li>Microsoft Azure</li><li>Microsoft Fabric</li><li>SQL</li><li>Data Warehousing</li><li>ETL/ELT Development</li><li>Hands-on experience with:</li><li>Fabric Lakehouse</li><li>Fabric Warehouse</li><li>Fabric Data Factory</li><li>OneLake</li><li>Power BI</li><li>Advanced SQL development and performance tuning experience.</li><li>Experience working with large-scale cloud-based data platforms.</li><li>Strong understanding of dimensional modeling and data architecture principles.</li><li>Experience implementing data quality and governance solutions.</li><li>Familiarity with Agile development methodologies.</li></ul><p>Preferred Qualifications</p><ul><li>Experience with:</li><li>Azure Data Factory (ADF)</li><li>Azure Synapse Analytics</li><li>Azure Data Lake Storage (ADLS)</li><li>Databricks</li><li>Azure Functions</li><li>Event Hub</li><li>Stream Analytics</li><li>Programming experience with:</li><li>Python</li><li>PySpark</li><li>SQL</li><li>Experience supporting AI, machine learning, or advanced analytics initiatives.</li><li>Microsoft Fabric or Azure certifications preferred.</li><li>Experience leading offshore or distributed development teams.</li></ul><p>Technical Environment</p><p>Data &amp; Analytics</p><ul><li>Microsoft Fabric</li><li>OneLake</li><li>Fabric Warehouse</li><li>Fabric Lakehouse</li><li>Power BI</li><li>Data Factory</li></ul><p>Azure</p><ul><li>Azure Data Factory</li><li>Azure Synapse Analytics</li><li>Azure Data Lake Storage Gen2</li><li>Azure DevOps</li><li>Azure Functions</li><li>Azure Key Vault</li></ul><p>Development</p><ul><li>SQL</li><li>Python</li><li>PySpark</li><li>Git</li><li>CI/CD Pipelines</li></ul><p>What Success Looks Like</p><ul><li>Deliver scalable and reliable enterprise data pipelines.</li><li>Establish trusted, governed datasets for reporting and analytics.</li><li>Improve data quality, accessibility, and performance across the organization.</li><li>Enable business teams to make data-driven decisions through modern analytics solutions.</li><li>Drive adoption of Microsoft Fabric and Azure best practices.</li></ul><p><br></p>

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