Data Engineer

<h3>Key Responsibilities</h3><ul>
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<strong>Data Architecture Design</strong>: Contribute to the design of scalable and secure data solutions, ensuring alignment with business and technical needs.</li>
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<strong>ETL/ELT Pipeline Development</strong>: Develop and optimize efficient pipelines to ingest, transform, and load data from diverse sources into structured formats for analytics.</li>
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<strong>Data Source Analysis</strong>: Analyze structured and unstructured data sources, recommending strategies for ingestion, processing, and classification.</li>
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<strong>Data Layer Development</strong>: Assist in building a robust data layer that supports both batch and real-time processing.</li>
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<strong>Data Ingestion &amp; Cleansing</strong>: Implement strategies for validating and cleansing data to ensure quality and compliance with governance policies.</li>
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<strong>Query Optimization</strong>: Write and optimize SQL queries to improve performance and efficiency across large datasets.</li>
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<strong>Data Migration</strong>: Support migration projects from legacy systems to cloud platforms, ensuring accuracy and minimal downtime.</li>
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<strong>Performance Monitoring</strong>: Monitor data workflows, troubleshoot bottlenecks, and propose improvements.</li>
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<strong>Collaboration</strong>: Work closely with analysts, scientists, and business teams to translate requirements into data models.</li>
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<strong>Data Governance &amp; Security</strong>: Apply governance standards and security best practices, ensuring compliance with regulations (e.g., GDPR).</li>
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<strong>Continuous Learning</strong>: Stay updated on emerging tools and practices, contributing to team innovation and improvement.</li>
</ul><h3>Qualifications</h3><ul>
<li>4+ years of experience in data engineering or related roles.</li>
<li>Strong knowledge of SQL, relational databases, and query optimization.</li>
<li>Hands-on experience with ETL/ELT tools and cloud platforms (AWS, Azure, or GCP).</li>
<li>Familiarity with data governance, security, and compliance frameworks.</li>
<li>Solid understanding of batch and real-time data processing.</li>
<li>Collaborative mindset with ability to work across technical and business teams.</li>
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