Senior Microsoft Fabric Data Engineer

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    "description": "<p>Job Description</p>\n<p>Our client is seeking a Senior Microsoft Data Engineer to design and deliver modern data platform solutions <br>for their Microsoft engineering projects. The right candidate is a hands-on technical leader with deep expertise in cloud data architecture, lakehouse platforms, and scalable data pipelines. This person thrives as a problem solver, mentor, and team player with the ability to operate independently, translate architecture into production-ready solutions, and contribute to a growing consultancy with a path toward partnership.<br></p>\n<p><br></p>\n<p><span style=\"font-weight: bold\"><span>Location:</span></span><span> </span><span style=\"font-weight: bold\"><span>Only LATAM</span></span><span> - 100% Remote.</span><span> </span></p>\n<p><span>Working hours are based on the </span><span style=\"font-weight: bold\"><span>US Central–Eastern Time Zone</span></span><span>. </span><span> </span></p>\n<p><span> </span></p>\n<p><span style=\"font-weight: bold\"><span>About Us</span></span><span> </span><span> </span></p>\n<p><span>Abstra is a fast-growing, Nearshore Tech Talent services company, providing top Latin American tech talent to U.S. companies and beyond. Founded by U.S.-bred engineers with over 15 years of experience, Abstra specializes in sourcing skilled professionals across a wide range of technologies to meet our clients’ needs, driving innovation and efficiency.</span></p>\n<p><br></p>\n<p><span style=\"font-weight: bold\">Role Experience and Soft Skills</span></p>\n<ul>\n<li>10+ years of consulting experience delivering data and analytics solutions</li>\n<li>Proven experience with Microsoft Fabric, Databricks, or similar platforms</li>\n<li>Ability to work through ambiguity and independently deliver scalable solutions</li>\n<li>Full lifecycle experience (architecture, build, deployment, support) in Agile/CI-CD environments</li>\n<li>Strong analytical thinking, problem-solving, and stakeholder communication skills </li>\n<li>Experience working across data science, analytics, and business teams</li>\n<li>Ability to support both reporting and advanced analytics use cases</li>\n<li>Self-directed, entrepreneurial mindset with strong ownership</li>\n<li>Commitment to documentation and creation of reusable patterns</li>\n</ul>\n<p><br></p>\n<ul>\n<li><span style=\"font-weight: bold\">Required Technical Experience</span><br>Microsoft Fabric, Azure Databricks, or equivalent lakehouse platforms</li>\n<li>Spark-based processing (PySpark / Spark SQL)</li>\n<li>Cloud data pipelines (Fabric Pipelines, ADF, or similar tools)</li>\n<li>Azure ML pipelines or integration with ML workflows</li>\n<li>Python or R, plus strong SQL expertise </li>\n<li>Lakehouse design (medallion architecture, performance optimization)</li>\n<li>Power BI and reporting enablement</li>\n<li>CI/CD, deployment automation, and DevOps practices</li>\n<li>Data governance, security, and quality frameworks</li>\n<li>Monitoring and support of production data systems</li>\n</ul>\n<p><br></p>\n<p><span style=\"font-weight: bold\">Preferred Certifications:</span></p>\n<ul>\n<li>Fabric Analytics Engineer Associate (DP-600)</li>\n<li>Fabric Data Engineer Associate (DP-700)</li>\n<li>Azure Data Engineer Associate (DP-203)</li>\n<li>Databricks or Spark certifications</li>\n</ul>\n<p><br></p>\n<p><span style=\"font-weight: bold\">Responsibilities</span></p>\n<ul>\n<li>Design and deliver scalable data platforms, pipelines, and lakehouse solutions</li>\n<li>Translate architecture into production-ready implementations independently</li>\n<li>Enable data science and reporting teams with high-quality, reliable data</li>\n<li>Implement automation, CI/CD, and governance best practices</li>\n<li>Monitor, troubleshoot, and optimize production environments</li>\n<li>Lead requirements gathering and managing delivery end-to-end</li>\n<li>Build strong client relationships and contribute to growth</li>\n<li>Support sales efforts and help define reusable delivery patterns<br></li>\n</ul>\n<p><br></p>\n<p><span style=\"font-weight: bold\">Our Client Perks</span></p>\n<ul>\n<li>Permanent, long-term role with strong ownership and accountability expectations</li>\n<li>Quarterly bonus for utilization and sales contribution, annual compensation review</li>\n<li>Remote-first culture supporting flexibility and work-life balance</li>\n<li>Structured career progression with mentorship and clear development pathways</li>\n</ul>",
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