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Department Business Intelligence Job Description We are seeking a skilled and motivated Microsoft Fabric Developer to join our data engineering team. The ideal candidate will be responsible for designing, developing, and deploying end-to-end data pipelines using Microsoft Fabric (OneLake, Dataflows Gen2, Lakehouse, Notebooks, and Pipelines). You will work closely with business analysts, data scientists, and BI developers to enable a robust, scalable, and high-performing modern data platform. Key Responsibilities Design and implement scalable data pipelines using Microsoft Fabric components (Lakehouse, Dataflows Gen2, Pipelines, Notebooks). Develop and manage Lakehouse architecture using Delta tables and medallion patterns (Bronze, Silver, Gold). Build and maintain ETL/ELT workflows for data ingestion from various sources (e.g., SAP, OData, APIs, Azure Data Sources). Collaborate with Power BI developers to ensure effective semantic modeling and visualization layer integration. Optimize query performance and manage resource allocation across Fabric capacities. Implement and monitor incremental refresh, data quality checks, and job scheduling for near real-time insights. Maintain data governance and security best practices, including access control and lineage tracking. Required Skills and Qualifications 3+ years of experience in data engineering or business intelligence roles. Hands-on experience with Microsoft Fabric, especially Lakehouse, Dataflows Gen2, Pipelines, and Notebooks. Strong knowledge of Delta Lake, PySpark, T-SQL, and M (Power Query). Solid understanding of data modeling (star schema, dimensional modeling) and medallion architecture principles. Familiarity with Power BI and integrating semantic models with Lakehouse. Experience working with cloud platforms like Azure Data Lake, Azure Synapse, Azure Data Factory, or similar. Ability to manage large datasets (10M+ rows), optimize performance, and handle mission-critical workloads. Preferred Qualifications Experience with CI/CD, DevOps for DataOps, or Fabric Deployment Pipelines. Knowledge of Python for data transformation within notebooks. Exposure to enterprise ERP data sources such as SAP, Oracle, Odoo, etc. Microsoft Certified: Fabric Analytics Engineer Associate or relevant certifications. Benefits A dynamic and collaborative work environment. Opportunity to work on high-impact data projects across global clients. Flexible working options and career growth pathways.
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