Senior Data Engineer (Microsoft Fabric)

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Remote-first role (Brazil or Portugal based)Full-TimeSenior

Salary not disclosed

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Job Details

Strong commercial experience with Microsoft Fabric in production environments.
Hands-on experience with Fabric Data Factory, Dataflows Gen2, Lakehouse, and OneLake.
Advanced SQL skills and strong proficiency in Python and/or PySpark.
Experience designing and implementing enterprise data models.
Solid understanding of Medallion architecture and modern data lakehouse concepts.
Proven experience building scalable ETL/ELT pipelines.
Experience integrating REST APIs and external data sources.
Knowledge of data quality, validation, and reconciliation practices.
Strong Power BI experience, including semantic modeling and DAX.
Understanding of Azure fundamentals (Entra ID, Key Vault, and related services).
Ability to work independently on complex, end-to-end technical projects.
Strong communication skills in English for collaboration with international stakeholders.

Design, build, and maintain enterprise-grade data solutions using Microsoft Fabric.
Develop scalable data ingestion pipelines from APIs, databases, and file-based sources.
Build and maintain Lakehouse architectures using the Medallion (Bronze, Silver, Gold) framework.
Create robust data models and semantic layers to support analytics and business reporting.
Develop and maintain Power BI semantic models, datasets, and dashboards.
Implement data quality, validation, and reconciliation frameworks across pipelines.
Design secure and governed data environments, including access controls and Row-Level Security (RLS).
Build ETL/ELT processes using SQL, Python, and PySpark.
Configure and manage Microsoft Fabric components such as OneLake, workspaces, and deployment pipelines.
Collaborate with solution architects and stakeholders to deliver scalable and aligned data solutions.

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