Data Engineering (MS Fabric)

Role Overview: You will be responsible for designing and building data pipelines, Lakehouse architectures (BronzeSilverGold), and semantic models in Microsoft Fabric. Your role will involve developing data ingestion and transformation workflows using Data Factory, Dataflows Gen2, SQL, and PySpark. Additionally, you will integrate Fabric with Power BI for analytics and reporting, ensuring data quality, governance, and performance optimization. It will be crucial for you to implement DevOps (CI/CD, Git) practices for Fabric assets and stay updated with Microsoft Fabric roadmap (Cortex AI, Copilot, Real-Time Intelligence). Key Responsibilities: - Design and build data pipelines, Lakehouse architectures, and semantic models in Microsoft Fabric. - Develop data ingestion and transformation workflows using Data Factory, Dataflows Gen2, SQL, and PySpark. - Integrate Fabric with Power BI for analytics and reporting, ensuring data quality, governance, and performance optimization. - Implement DevOps practices (CI/CD, Git) for Fabric assets. - Stay updated with Microsoft Fabric roadmap including Cortex AI, Copilot, Real-Time Intelligence. Qualifications Required: - Minimum 8 years of experience in data engineering. - Proficiency in Microsoft Fabric tools such as Data Factory, Dataflows Gen2, SQL, and PySpark. - Strong understanding of DevOps practices including CI/CD and Git. - Experience with integrating Power BI for analytics and reporting is preferred. Role Overview: You will be responsible for designing and building data pipelines, Lakehouse architectures (BronzeSilverGold), and semantic models in Microsoft Fabric. Your role will involve developing data ingestion and transformation workflows using Data Factory, Dataflows Gen2, SQL, and PySpark. Additionally, you will integrate Fabric with Power BI for analytics and reporting, ensuring data quality, governance, and performance optimization. It will be crucial for you to implement DevOps (CI/CD, Git) practices for Fabric assets and stay updated with Microsoft Fabric roadmap (Cortex AI, Copilot, Real-Time Intelligence). Key Responsibilities: - Design and build data pipelines, Lakehouse architectures, and semantic models in Microsoft Fabric. - Develop data ingestion and transformation workflows using Data Factory, Dataflows Gen2, SQL, and PySpark. - Integrate Fabric with Power BI for analytics and reporting, ensuring data quality, governance, and performance optimization. - Implement DevOps practices (CI/CD, Git) for Fabric assets. - Stay updated with Microsoft Fabric roadmap including Cortex AI, Copilot, Real-Time Intelligence. Qualifications Required: - Minimum 8 years of experience in data engineering. - Proficiency in Microsoft Fabric tools such as Data Factory, Dataflows Gen2, SQL, and PySpark. - Strong understanding of DevOps practices including CI/CD and Git. - Experience with integrating Power BI for analytics and reporting is preferred.