Microsoft Fabric Solutions Developer
1 week ago
About This RoleWe are seeking a skilled Microsoft Fabric Developer to join our team. The successful candidate will be responsible for designing, developing, and maintaining end-to-end data and analytics solutions using the Microsoft Fabric platform.Key ResponsibilitiesDesign and implement data ingestion pipelines using Microsoft Fabric Data Factory.Integrate data from multiple on-premise and cloud-based sources (SQL, APIs, D365, SAP, Salesforce, etc.).Ensure efficient and secure data movement leveraging OneLake and Lakehouse concepts.Develop and maintain dataflows, linked services, and datasets within Fabric.Build Lakehouses, Warehouses, and Data Models using Fabric Data Engineering capabilities.Develop data transformation logic using PySpark, SQL, or Data Wrangler.Optimize performance, partitioning, and indexing strategies for large datasets.Implement data quality, lineage, and governance controls aligned to enterprise standards.Develop semantic models and interactive dashboards using Power BI within Fabric.Enable real-time and near-real-time analytics through Direct Lake or Direct Query connections.Collaborate with business teams to design self-service BI layers and reusable data assets.Automate orchestration, monitoring, and alerting for data pipelines.Integrate Fabric solutions with Power Platform, Azure Synapse, or Azure Machine Learning environments.Implement data security, RBAC, sensitivity labels, and data sharing policies in Fabric.Adhere to data lifecycle management, naming conventions, and cost optimization practices.Contribute to the Data Platform Center of Excellence by documenting reusable frameworks and accelerators.Requirements4–8 years of experience in data engineering, BI, or analytics, with at least 1 year in Microsoft Fabric.Strong proficiency in Microsoft Fabric components, including: Data Factory, Lakehouse, Data Engineering, Data Science, Warehouse, Power BI, OneLake.Advanced skills in SQL, PySpark, and Data Modeling.Experience with Power BI datasets, DAX, and data visualization best practices.Familiarity with Microsoft Purview for governance and Entra ID (Azure AD) for access control.Understanding of ETL/ELT pipelines, CI/CD for data pipelines, and Azure DevOps integration.Exposure to Azure Synapse, Databricks, or Azure Data Lake migration to Fabric.Preferred QualificationsExperience integrating Microsoft Fabric with Copilot and GenAI-based insights.Knowledge of Python, Notebooks, or ML model deployment within Fabric Data Science experience.Understanding of RAG pipelines, AI-driven analytics, or Semantic Kernel integration.Certification: Microsoft Certified: Fabric Analytics Engineer Associate (DP-600).Exposure to D365 data sources, Power Platform, or Azure Data Factory (legacy).EducationBachelor's or Master's degree in Computer Science, Data Engineering, Information Systems, or a related field.Soft SkillsStrong analytical and problem-solving skills.Excellent collaboration and communication abilities.Ability to translate business needs into data-driven outcomes.Focus on performance optimization, governance, and automation.
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