Fabric Data Engineer - Azure

As a Fabric Data Engineer specializing in the Azure ecosystem, your role will involve designing, building, and maintaining scalable data solutions. Your expertise in Microsoft Fabric, Databricks, Azure Data Factory, PySpark, SQL, and other Azure services will be crucial in supporting advanced analytics and data-driven decision-making. Key Responsibilities: - Design, develop, and maintain scalable data pipelines using Microsoft Fabric and Azure data services. - Implement data integration, transformation, and orchestration workflows with Azure Data Factory, Databricks, and PySpark. - Collaborate with stakeholders to understand business requirements and translate them into robust data solutions. - Optimize performance and ensure data quality, reliability, and security across all layers. - Develop and maintain data models, metadata, and documentation to support analytics and reporting. - Collaborate with data scientists, analysts, and business teams to deliver insights-driven solutions. - Stay updated with emerging Azure and Fabric technologies to recommend best practices and innovations. Qualifications Required: - Proven experience as a Data Engineer with expertise in the Azure cloud ecosystem. - Hands-on experience with Microsoft Fabric, Azure Databricks, Azure Data Factory (ADF), PySpark & Python, and SQL (T-SQL/PL-SQL). - Solid understanding of data warehousing, ETL/ELT processes, and big data architectures. - Knowledge of data governance, security, and compliance within Azure. - Strong problem-solving, debugging, and performance tuning skills. - Excellent communication and collaboration abilities. Additional Company Details: - Preferred Qualifications include being Microsoft Certified as a Fabric Analytics Engineer Associate or Azure Data Engineer Associate. - Experience with Power BI, Delta Lake, and Lakehouse architecture is beneficial. - Exposure to DevOps, CI/CD pipelines, and Git-based version control is a plus.,