<p>Key Responsibilities</p><ul><li>Design, build, and maintain end-to-end data pipelines using Azure-native services</li><li>Develop and optimize ETL/ELT processes using Azure Data Factory, Databricks, and SQL</li><li>Create and manage data models for analytics and reporting use cases</li><li>Integrate data from ERP, CRM, operational systems, and external sources</li><li>Ensure data quality, reliability, and performance across data platforms</li><li>Implement data governance, security, and access controls</li><li>Monitor and troubleshoot pipeline failures and performance issues</li><li>Collaborate with BI teams, analysts, and business stakeholders to support reporting needs</li><li>Maintain technical documentation and data standards</li></ul><p><br></p><p><br></p>

<p>Required Qualifications</p><ul><li>Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent experience)</li><li>3+ years of experience in data engineering or similar roles</li><li>Strong experience with Azure data services, including:</li><li>Azure Data Factory</li><li>Azure Databricks</li><li>Azure SQL / SQL Server</li><li>Azure Data Lake / Blob Storage</li><li>Strong SQL skills and experience with Python or Scala</li><li>Experience designing scalable and reliable data architectures</li></ul><p><br></p><p>Preferred Qualifications</p><ul><li>Experience with Power BI and analytics platforms</li><li>Familiarity with DevOps / CI-CD pipelines for data workloads</li><li>Experience with streaming data (Event Hubs, Kafka)</li><li>Knowledge of data governance, security, and compliance practices</li><li>Cloud certifications (Azure Data Engineer Associate or similar)</li></ul><p><br></p>

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