Microsoft Fabric Data Engineer
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Job description
Our Pharma client is seeking a hands-on Microsoft Fabric Data Engineer to support a large-scale data modernization initiative focused on Patient Services. This individual will play a key role in migrating existing data assets into Microsoft Fabric and building scalable, enterprise-grade data pipelines that enable analytics, reporting, and AI-driven initiatives. The ideal candidate has recent experience working within Microsoft Fabric, strong expertise with OneLake and Data Lake architectures, and a proven track record designing modern data platforms using PySpark and Medallion Architecture principles. Responsibilities * Design, develop, and maintain scalable data pipelines in Microsoft Fabric. * Build and optimize solutions using OneLake, Lakehouse, Warehouse, Data Factory, SQL, and PySpark. * Lead data ingestion, transformation, and migration efforts into Microsoft Fabric. * Design and implement Medallion Architecture (Bronze, Silver, Gold) data models. * Develop reusable ingestion frameworks and incremental processing solutions. * Optimize Spark workloads, Fabric capacity, SQL performance, and overall platform efficiency. * Implement data quality, monitoring, reconciliation, lineage, and governance controls. * Support CI/CD processes, automated deployments, and production operations. * Partner closely with business stakeholders, analytics teams, and data platform teams to translate requirements into scalable data solutions. * Troubleshoot complex production issues and ensure platform reliability and operational readiness.
Requirements
- 7+ years of Data Engineering experience. * Hands-on Microsoft Fabric experience with production implementations. * Strong experience with OneLake, Lakehouse architecture, and enterprise Data Lake solutions. * Advanced SQL and Python/PySpark expertise. * Experience designing and implementing Medallion Architecture (Bronze/Silver/Gold). * Experience developing scalable ETL/ELT pipelines and data transformation frameworks. * Azure Synapse and/or Azure Data Factory experience. * Experience with CI/CD, Azure DevOps, Git, and deployment automation. * Excellent communication skills and ability to work directly with business stakeholders. * Experience leading or participating in Microsoft Fabric migration initiatives. * Experience optimizing Fabric performance, Spark workloads, and cost efficiency. * Data governance, lineage, security, and monitoring experience. * Healthcare, life sciences, or regulated industry experience.
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