Data Engineer – MS Fabric Developer

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    "description": "<p><span style=\"font-size: 18pt\"><span style=\"font-weight: bold\">Data Engineer – Microsoft Fabric Developer (Spark Notebooks)</span></span></p>\n<p><span style=\"font-weight: bold\">Location:</span> Remote<br><span style=\"font-weight: bold\">Department:</span> Digital Solutions / Data Engineering<br><span style=\"font-weight: bold\">Reports To:</span> Data Engineering Lead / Director<br><span style=\"font-weight: bold\">Job Type:</span> Full-time</p>\n<p><span style=\"font-size: 14pt\"><span style=\"font-weight: bold\">About AIM</span></span></p>\n<p>Architecture in Motion Inc. (AIM) is a Canadian technology consulting firm that supports organizations across public and private sectors with cloud platforms, data engineering, analytics, and enterprise technology solutions.</p>\n<p>We partner with clients to deliver <span style=\"font-weight: bold\">scalable, secure, and data-driven systems</span>, with a strong focus on modern cloud platforms, including <span style=\"font-weight: bold\">Microsoft Azure and Microsoft Fabric</span>.</p>\n<p><span style=\"font-size: 14pt\"><span style=\"font-weight: bold\">Role Overview</span></span></p>\n<p>AIM is seeking a <span style=\"font-weight: bold\">Data Engineer – Microsoft Fabric Developer</span> with strong expertise in <span style=\"font-weight: bold\">Spark Notebooks</span> and modern data platforms.</p>\n<p>This role is a hands-on individual contributor position focused on building, optimizing, and managing <span style=\"font-weight: bold\">data pipelines, transformations, and analytics solutions</span> within <span style=\"font-weight: bold\">Microsoft Fabric</span>. The ideal candidate will work closely with data analysts, Power BI developers, and solution architects to deliver <span style=\"font-weight: bold\">high-quality, scalable data solutions</span>.</p>\n<p><span style=\"font-size: 14pt\"><span style=\"font-weight: bold\">Key Responsibilities</span></span></p>\n<p><span style=\"font-size: 12pt\"><span style=\"font-weight: bold\">Data Engineering &amp; Development</span></span></p>\n<ul>\n<li>Design, develop, and maintain <span style=\"font-weight: bold\">data pipelines using Microsoft Fabric</span></li>\n<li>Develop and optimize <span style=\"font-weight: bold\">Spark Notebooks (PySpark / Spark SQL)</span> for data transformation and processing</li>\n<li>Build scalable <span style=\"font-weight: bold\">ETL/ELT workflows</span> for structured and unstructured data</li>\n</ul>\n<p><span style=\"font-size: 12pt\"><span style=\"font-weight: bold\">Data Platform &amp; Architecture</span></span></p>\n<ul>\n<li>Work within <span style=\"font-weight: bold\">Microsoft Fabric ecosystem (Data Factory, Lakehouse, Warehousing)</span></li>\n<li>Design and manage <span style=\"font-weight: bold\">data models and storage layers</span> (Bronze, Silver, Gold architecture)</li>\n<li>Ensure performance optimization and efficient data processing</li>\n</ul>\n<p><span style=\"font-size: 12pt\"><span style=\"font-weight: bold\">Integration &amp; Data Management</span></span></p>\n<ul>\n<li>Integrate data from multiple sources, including:\n<ul>\n<li>APIs</li>\n<li>Databases</li>\n<li>Cloud storage systems</li>\n</ul>\n</li>\n<li>Ensure <span style=\"font-weight: bold\">data quality, validation, and governance best practices</span></li>\n</ul>\n<p><span style=\"font-size: 12pt\"><span style=\"font-weight: bold\">Analytics &amp; Collaboration</span></span></p>\n<ul>\n<li>Collaborate with <span style=\"font-weight: bold\">Power BI developers and analysts</span> to support reporting requirements</li>\n<li>Enable clean, structured datasets for <span style=\"font-weight: bold\">reporting and visualization</span></li>\n<li>Support business teams with data insights and troubleshooting</li>\n</ul>\n<p><span style=\"font-size: 12pt\"><span style=\"font-weight: bold\">Optimization &amp; Support</span></span></p>\n<ul>\n<li>Monitor and optimize <span style=\"font-weight: bold\">data pipelines and Spark workloads</span></li>\n<li>Troubleshoot data issues and ensure <span style=\"font-weight: bold\">reliability and performance</span></li>\n<li>Support <span style=\"font-weight: bold\">deployment and CI/CD processes</span> for data solutions</li>\n</ul>\n<p><span style=\"font-size: 12pt\"><span style=\"font-weight: bold\">Documentation &amp; Process Improvement</span></span></p>\n<ul>\n<li>Maintain technical documentation for data pipelines and workflows</li>\n<li>Support standardization of data engineering processes and best practices</li>\n</ul>\n<p><span style=\"font-size: 14pt\"><span style=\"font-weight: bold\">Required Qualifications</span></span></p>\n<p><span style=\"font-size: 14pt\"><span style=\"font-weight: bold\">Education</span></span></p>\n<ul>\n<li>Bachelor’s degree in Computer Science, Data Engineering, IT, or a related field</li>\n</ul>\n<p><span style=\"font-size: 14pt\"><span style=\"font-weight: bold\">Experience</span></span></p>\n<ul>\n<li>4–6+ years of experience in <span style=\"font-weight: bold\">data engineering or data platform development</span></li>\n<li>Hands-on experience with <span style=\"font-weight: bold\">Microsoft Fabric or Azure Data Platform</span></li>\n<li>Strong experience working with <span style=\"font-weight: bold\">Spark Notebooks (PySpark / Spark SQL)</span></li>\n</ul>\n<p><span style=\"font-size: 14pt\"><span style=\"font-weight: bold\">Technical Skills</span></span></p>\n<ul>\n<li>Expertise in:\n<ul>\n<li>Microsoft Fabric</li>\n<li>Spark / PySpark / Spark SQL</li>\n<li>Data pipelines (ETL/ELT)</li>\n</ul>\n</li>\n<li>Experience with:\n<ul>\n<li>Azure Data Factory / Synapse / Fabric pipelines</li>\n<li>Data Lake / Lakehouse architecture</li>\n<li>SQL and relational databases</li>\n</ul>\n</li>\n<li>Understanding of:\n<ul>\n<li>Data modeling concepts</li>\n<li>Data governance and quality frameworks</li>\n</ul>\n</li>\n</ul>\n<p><span style=\"font-size: 14pt\"><span style=\"font-weight: bold\">Core Competencies</span></span></p>\n<ul>\n<li>Strong problem-solving and analytical skills</li>\n<li>Ability to work in a <span style=\"font-weight: bold\">cross-functional, collaborative environment</span></li>\n<li>Strong communication and documentation skills</li>\n<li>Ability to manage tasks independently in a <span style=\"font-weight: bold\">remote setup</span></li>\n</ul>\n<p><span style=\"font-size: 14pt\"><span style=\"font-weight: bold\">Nice to Have</span></span></p>\n<ul>\n<li>Experience with <span style=\"font-weight: bold\">Power BI and data visualization</span></li>\n<li>Familiarity with <span style=\"font-weight: bold\">CI/CD pipelines and DevOps practices</span></li>\n<li>Experience with <span style=\"font-weight: bold\">large-scale enterprise data platforms</span></li>\n</ul>\n<p><span style=\"font-size: 14pt\"><span style=\"font-weight: bold\">What We Offer</span></span></p>\n<ul>\n<li>100% remote work environment</li>\n<li>Opportunity to work on modern <span style=\"font-weight: bold\">cloud and data platforms (Microsoft Fabric)</span></li>\n<li>Exposure to enterprise-scale <span style=\"font-weight: bold\">data and analytics projects</span></li>\n<li>Collaborative and growth-focused culture</li>\n</ul>\n<p><span style=\"font-size: 14pt\"><span style=\"font-weight: bold\">Application Instructions</span></span></p>\n<p>Please share examples of <span style=\"font-weight: bold\">data engineering projects</span>, GitHub repositories (if available), or relevant certifications in Microsoft/Azure data technologies.</p>",
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