Microsoft Fabric Data Engineer

Lakehouse Development

• Design and maintain Fabric Lakehouse environments.
• Develop and optimize Delta Tables for high-performance analytics workloads.
• Implement Medallion Architecture (Bronze, Silver, Gold layers) to support data quality and governance requirements.
• Create curated datasets for reporting, analytics, and AI/ML use cases.

Data Transformation & Processing

• Develop data transformation logic using PySpark, Spark SQL, and notebooks.
• Create reusable frameworks and data engineering best practices.
• Perform data cleansing, enrichment, and standardization activities.
• Data Modeling & Analytics Support
• Design dimensional and analytical data models.
• Collaborate with Business Intelligence teams to support Power BI semantic models and reporting requirements.
• Ensure data consistency, quality, and accuracy across data platforms.