<p>We are seeking a <strong>Senior Data Engineer</strong> with strong experience in <strong>Azure cloud technologies</strong> to join our team. This individual will play a key role in designing, building, and maintaining scalable data pipelines and solutions that support business intelligence, analytics, and operational reporting.</p><p><strong>Responsibilities</strong></p><ul><li>Design and implement scalable data pipelines, ETL/ELT processes, and data integration workflows using Azure Data Factory and related tools.</li><li>Manage and optimize cloud-based data platforms including <strong>Azure Data Lake, Azure SQL Database, and Synapse Analytics</strong>.</li><li>Collaborate with business analysts, data scientists, and application developers to translate requirements into reliable data solutions.</li><li>Ensure data accuracy, quality, and security across all environments.</li><li>Implement and manage CI/CD pipelines for data solutions.</li><li>Support performance tuning, troubleshooting, and optimization of large-scale data workloads.</li><li>Document architecture, workflows, and data models to ensure knowledge transfer and transparency.</li></ul><p><br></p>

<p><strong>Qualifications</strong></p><ul><li>Bachelor’s degree in Computer Science, Information Systems, or related field (Master’s a plus).</li><li><strong>5+ years of data engineering experience</strong>, with at least 3 years in a cloud-first environment.</li><li>Strong expertise in <strong>Azure Data Factory, Azure Data Lake, Synapse Analytics, Azure SQL, and Databricks</strong>.</li><li>Proficiency in <strong>SQL</strong> (query optimization, stored procedures, etc.) and experience with <strong>Python or PySpark</strong> for data transformation.</li><li>Solid understanding of <strong>data modeling, data warehousing, and ETL/ELT frameworks</strong>.</li><li>Experience with version control and DevOps tools (Git, CI/CD, Azure DevOps).</li><li>Knowledge of data governance, data security, and compliance best practices.</li><li>Excellent communication skills and ability to collaborate across technical and business teams.</li></ul><p><strong>Preferred Skills</strong></p><ul><li>Experience with <strong>Power BI</strong> integration for analytics.</li><li>Familiarity with machine learning pipelines or AI/ML integrations in Azure.</li><li>Previous work in industries such as finance, healthcare, or large-scale enterprise environments.</li></ul><p><br></p>

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