<p>We’re seeking a Data Engineer to design and build scalable data pipelines in a modern Azure environment. This role focuses on transforming raw data into reliable, analytics-ready datasets.</p><p><strong>Key Responsibilities:</strong></p><ul><li>Build and maintain <strong>ETL/ELT pipelines</strong> using Azure Data Factory</li><li>Develop data solutions in <strong>Azure Databricks (PySpark / Spark)</strong></li><li>Optimize data processing performance and cost efficiency</li><li>Work with structured and unstructured data across cloud platforms</li><li>Collaborate with analytics and business stakeholders to define data requirements</li><li>Ensure data quality, governance, and documentation</li></ul><p><br></p>

<p><strong>Required Skills:</strong></p><ul><li>Experience with <strong>Azure Data Factory + Databricks</strong></li><li>Strong skills in <strong>SQL and Python</strong></li><li>Knowledge of <strong>data modeling (star/snowflake schemas)</strong></li><li>Experience with <strong>data lakes, data warehouses, and cloud storage</strong></li><li>Understanding of ETL/ELT best practices</li></ul><p><strong>Nice to Have:</strong></p><ul><li>Experience with <strong>Azure Synapse or Snowflake</strong></li><li>Exposure to <strong>CI/CD or DevOps pipelines</strong></li><li>Knowledge of data governance tools</li></ul><p><br></p>

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