Microsoft Fabric Data Engineer

Role Overview

Design and maintain Fabric Lakehouse environments, develop and optimize Delta Tables for high-performance analytics workloads, and implement Medallion Architecture to support data quality and governance requirements.

What You Will Do

Develop data transformation logic using PySpark, Spark SQL, and notebooks, create reusable frameworks and data engineering best practices, and perform data cleansing, enrichment, and standardization activities.

Why It Might Be a Fit

The ideal candidate will have experience with data engineering and integration, cloud platforms, data pipeline architecture, and interpersonal dynamics with coworkers.

Requirements

• Design, develop, and maintain scalable data ingestion and transformation pipelines using Microsoft Fabric
• Build and manage ETL/ELT workflows using Fabric Data Factory and Data Pipelines
• Integrate data from multiple sources including databases, APIs, flat files, cloud storage, and SaaS applications
• Implement incremental data loads and Change Data Capture (CDC) strategies