<p>We are seeking a skilled <strong>Azure Data Engineer</strong> to design, build, and maintain scalable data solutions on the Microsoft Azure platform. The ideal candidate will have strong experience developing data pipelines, optimizing data architectures, and supporting analytics and business intelligence initiatives. This role will work closely with data analysts, data scientists, and business stakeholders to ensure reliable, high-quality data is available for reporting and advanced analytics.</p><p><br></p><p>Key Responsibilities</p><ul><li>Design, develop, and maintain <strong>scalable data pipelines and ETL/ELT processes</strong> using Azure data services.</li><li>Build and manage data solutions using tools such as <strong>Azure Data Factory, Azure Synapse Analytics, Azure Data Lake, and Azure Databricks</strong>.</li><li>Develop and optimize <strong>data models, transformations, and storage strategies</strong> for large-scale structured and unstructured datasets.</li><li>Ensure <strong>data quality, integrity, and security</strong> across the data platform.</li><li>Monitor and troubleshoot data workflows, pipeline failures, and performance issues.</li><li>Collaborate with data analysts, BI developers, and data scientists to deliver reliable datasets for reporting and analytics.</li><li>Implement <strong>data governance and best practices</strong> for data management and documentation.</li><li>Automate data processes and deployments using <strong>CI/CD pipelines and infrastructure-as-code practices</strong>.</li><li>Optimize cost and performance of Azure data services.</li><li>Stay current with new Azure features, tools, and industry best practices.</li></ul><p><br></p>

<p>Required Qualifications</p><ul><li>Bachelor’s degree in <strong>Computer Science, Information Systems, Data Engineering, or related field</strong> (or equivalent experience).</li><li><strong>3+ years of experience</strong> in data engineering, data integration, or data platform development.</li><li>Hands-on experience with <strong>Microsoft Azure data services</strong> including:</li><li>Azure Data Factory</li><li>Azure Data Lake Storage</li><li>Azure Synapse Analytics</li><li>Azure Databricks</li><li>Strong proficiency in <strong>SQL</strong> and experience with relational and distributed data systems.</li><li>Experience building <strong>ETL/ELT pipelines and large-scale data processing workflows</strong>.</li><li>Knowledge of <strong>Python, Scala, or Spark</strong> for data processing.</li><li>Experience working with <strong>cloud-based data architectures</strong> and distributed computing.</li><li>Familiarity with <strong>data modeling techniques (star schema, dimensional modeling)</strong>.</li></ul><p><br></p><p>Preferred Qualifications</p><ul><li>Microsoft certification such as <strong>Azure Data Engineer Associate</strong>.</li><li>Experience with <strong>Power BI</strong> or other BI tools.</li><li>Experience with <strong>streaming data technologies</strong> (Azure Event Hub, Kafka, or similar).</li><li>Knowledge of <strong>DevOps practices and CI/CD pipelines</strong> (Azure DevOps, GitHub Actions).</li><li>Experience with <strong>data governance, security, and compliance frameworks</strong>.</li></ul><p><br></p>

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