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<p> </p></div><p><strong>Job Title: Senior Data Engineer – Microsoft Fabric</strong></p>
<p><strong>Experience:</strong> 6–8 Years<br><strong>Location:</strong> India Remote <br><strong>Employment Type:</strong> Full-time / Contract</p>
<p><strong>Job Summary</strong></p>
<p>We are seeking an experienced <strong>Data Engineer</strong> with strong expertise in <strong>Microsoft Fabric, PySpark, Python, and SQL</strong> to design, build, and optimize scalable data pipelines and analytics solutions. The ideal candidate will have hands-on experience with <strong>Lakehouse architecture, data integration, and large-scale data processing</strong> to support enterprise analytics and reporting.</p>
<p><strong>Key Responsibilities</strong></p>
<ul>
<li>Design, develop, and maintain <strong>data pipelines and ETL/ELT processes</strong> using <strong>Microsoft Fabric and PySpark</strong>.</li>
<li>Build and manage <strong>Lakehouse and Data Warehouse solutions</strong> within the Microsoft Fabric ecosystem.</li>
<li>Develop scalable data processing workflows using <strong>Python and PySpark</strong>.</li>
<li>Write optimized <strong>SQL queries</strong> for data transformation, analysis, and performance tuning.</li>
<li>Integrate data from various sources such as <strong>APIs, databases, cloud storage, and streaming platforms</strong>.</li>
<li>Implement <strong>data modeling techniques</strong> to support analytics and reporting requirements.</li>
<li>Ensure <strong>data quality, governance, and security</strong> across the data platform.</li>
<li>Monitor and optimize <strong>data pipeline performance and reliability</strong>.</li>
<li>Collaborate with <strong>data analysts, data scientists, and business stakeholders</strong> to understand data requirements.</li>
<li>Document architecture, workflows, and technical processes.</li>
</ul>
<p><strong>Required Skills</strong></p>
<ul>
<li>Strong hands-on experience with <strong>Microsoft Fabric (Lakehouse, Data Factory, Data Warehouse, Notebooks)</strong>.</li>
<li>Expertise in <strong>PySpark and Spark-based data processing</strong>.</li>
<li>Strong programming skills in <strong>Python</strong>.</li>
<li>Advanced knowledge of <strong>SQL and database optimization</strong>.</li>
<li>Experience with <strong>ETL/ELT pipeline development</strong>.</li>
<li>Understanding of <strong>data modeling concepts and data warehousing principles</strong>.</li>
<li>Experience working with <strong>large-scale structured and unstructured data</strong>.</li>
</ul>
<p><strong>Preferred Skills</strong></p>
<ul>
<li>Experience with <strong>Azure Data Factory / Azure Synapse / Databricks</strong>.</li>
<li>Knowledge of <strong>Power BI integration with Microsoft Fabric</strong>.</li>
<li>Familiarity with <strong>CI/CD pipelines and DevOps practices</strong>.</li>
<li>Experience with <strong>data governance and security frameworks</strong>.</li>
<li>Exposure to <strong>real-time or streaming data processing</strong>.</li>
</ul>
<p><strong>Educational Qualification</strong></p>
<ul>
<li>Bachelor’s or Master’s degree in <strong>Computer Science, Information Technology, or a related field</strong>.</li>
</ul>
<p><strong>Nice to Have</strong></p>
<ul>
<li>Certification in <strong>Microsoft Fabric or Azure Data Engineering</strong>.</li>
<li>Experience working in <strong>cloud-based data platforms</strong>.</li>
</ul>
<p>Shift Timings: 2PM to 11PM IST</p>
<p>📩 I<strong>nterested candidates may share their updated resumes to:</strong><br><strong> </strong><a href="mailto:srikanth.kunchala@neweratech.com"><strong>srikanth.kunchala@neweratech.com</strong></a> </p><div class="content-conclusion"><p><span data-teams="true">New Era Technology, LLC., and its subsidiaries (“New Era” “we”, “us”, or “our”) in its operating regions worldwide are committed to respecting your privacy and recognize the need for appropriate protection and management of any Personal Data that you may provide us. In this, we are also committed to providing you with a positive experience on our websites and while using our products, services and solutions (“Solutions”).</span></p>
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