Microsoft Fabric Data Engineer

Role Overview

As a Microsoft Fabric Data Engineer, you will design and maintain Fabric Lakehouse environments, implementing Medallion Architecture to support high-performance analytics, data quality, and governance. You will be responsible for creating curated datasets for reporting, analytics, and AI/ML use cases while ensuring data consistency across platforms.

Responsibilities

• 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.
• Develop data transformation logic using PySpark, Spark SQL, and notebooks.
• Implement Delta Tables and Medallion Architecture (Bronze, Silver, Gold layers).
• Integrate data from multiple sources including databases, APIs, and cloud storage.
• Design dimensional and analytical data models to support Power BI semantic models.
• Implement incremental data loads and Change Data Capture (CDC) strategies.

Requirements

• Graduate in Computer Science, Data Science, or a related field.
• 4-6 years of experience in data engineering or a related field.
• Proficiency in SQL, PySpark, and Spark SQL.
• Experience with Delta Lake and OneLake.
• Strong understanding of ETL/ELT, Data Modeling, and Data Warehousing.
• Experience with Git Version Control and Azure DevOps.

Skills

• Microsoft Fabric
• PySpark
• Azure Data Services
• SQL
• Delta Lake

Nice to Have

• Experience in large-scale enterprise data transformation programs.
• Knowledge of Data Mesh and Modern Data Platform concepts.
• Exposure to AI/ML data preparation processes.
• Microsoft Fabric Certification.
• Experience in Banking, Insurance, Healthcare, or Retail domains.