Data Engineer (Databricks + Fabric)

📋 Description

• Design, develop, deploy, and maintain production-grade data platforms for clients, taking hands-on
• Build and optimize scalable ETL/ELT pipelines using Databricks and Microsoft Fabric to support
• Design and implement modern lakehouse architectures based on the Medallion framework, organizing
• Develop and maintain data processing solutions using PySpark, Python, SQL, Databricks Workflows
• Implement and manage data governance through Unity Catalog, including permissions, access controls
• Work across the Microsoft Fabric ecosystem, leveraging Lakehouse, OneLake, Data Pipelines

🎯 Requirements

• Proven hands-on professional experience implementing and managing Databricks solutions in
• Strong experience with PySpark, Delta Lake, Databricks Workflows, and Unity Catalog, including
• Demonstrated experience designing and implementing Medallion architectures (Bronze, Silver, and
• Proven hands-on experience with Microsoft Fabric across its full platform, including Lakehouse
• Advanced proficiency in SQL and Python, with the ability to develop efficient data transformation
• Strong understanding of modern data engineering principles, lakehouse architectures, data

🎁 Benefits

• Fully remote work: Work remotely from Brazil, with a location-independent working environment.
• International exposure: Collaborate with clients and technical teams across Latin America and
• Advanced technology stack: Gain hands-on experience with Databricks, Microsoft Fabric, Delta Lake
• Technical ownership: Take direct responsibility for building, deploying, and operating production
• Professional development: Strengthen your expertise in modern lakehouse architectures, data
• Client-facing experience: Work closely with clients, understand their business challenges, and