Consultor de Dados – Engenharia & Ciência de Dados

📋 Description

• Design, model, and structure data environments using Microsoft Azure services.
• Build, maintain, and optimize data pipelines to support efficient data ingestion and transformation.
• Develop and evolve data architectures based on Azure Data Lake, Synapse, Databricks, and related
• Organize data into structured layers to improve accessibility, consistency, and usability.
• Apply conceptual, logical, and physical data modeling practices.
• Ensure data quality, reliability, and availability across the data environment.

🎯 Requirements

• Hybrid professional background combining Data Engineering and Data Science.
• Experience working with Microsoft Azure, particularly Data Lake, Synapse, Databricks, or related
• Practical experience in conceptual, logical, and physical data modeling.
• Experience designing and building data pipelines.
• Knowledge of data environment architecture, including data ingestion, transformation, and layered
• Strong analytical skills and business awareness, with the ability to translate departmental

🎁 Benefits

• Learning and development incentives, including access to Udemy.
• Corporate English classes at affordable rates.