We are looking for an experienced Senior Data Engineer to join our team in Atlanta, Georgia. This role is ideal for someone with a strong background in data architecture, cloud platforms, and analytics tools. You will play a key role in designing, building, and optimizing data systems to support business operations and decision-making.<br><br>Responsibilities:<br>• Develop and maintain scalable data models and database designs to support business needs.<br>• Implement and manage data integration workflows using ETL processes and tools.<br>• Build and optimize data lakes and LakeHouse architectures on Azure platforms.<br>• Utilize Microsoft Fabric and Azure Databricks to create advanced data solutions.<br>• Design and develop dashboards and reports using Power BI to provide actionable insights.<br>• Ensure data governance by establishing policies, procedures, and standards for data use.<br>• Collaborate with cross-functional teams to align data strategies with organizational goals.<br>• Leverage Python and SQL for data analysis, transformation, and automation.<br>• Work with middleware solutions like MuleSoft for efficient data communication and integration.<br>• Stay updated on emerging technologies to continuously improve data engineering practices.

• Minimum of 8 years of experience in data engineering, including expertise in Microsoft Fabric and LakeHouse architectures.<br>• Proficiency in data modeling, database design, and data integration tools.<br>• Strong knowledge of Python and SQL for data processing and analytics.<br>• Experience working with cloud platforms, particularly Microsoft Azure.<br>• Hands-on experience with Power BI for data visualization (minimum 3 years).<br>• Familiarity with ETL processes and tools, including SSIS.<br>• Knowledge of data governance principles and best practices.<br>• Experience with MuleSoft or similar middleware platforms is a plus.

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