Engenheiro(a) de Dados Pleno (4)

📋 Description

• Design, develop, and maintain scalable data solutions.
• Build data pipelines for ingestion, transformation, processing, and delivery at scale.
• Work with Lakehouse, Data Mesh, and Medallion architectures.
• Ensure data quality, traceability, versioning, and secure reprocessing.
• Support DataOps, monitoring strategies, and data observability.
• Collaborate with architects, data scientists, and analysts to design data solutions.

🎯 Requirements

• ETL/ELT processes experience (data collection, transformation, loading).
• Cloud and on-premise data architectures, especially Azure and/or Google Cloud.
• Data pipeline monitoring, optimisation, troubleshooting.
• Data quality, validation, integrity strategies.
• Experience with Data Lakes and Data Warehouses.
• Strong Python and advanced SQL skills.

🎁 Benefits

• Remote or hybrid work model with flexibility.
• Opportunities to work on challenging projects across industries.
• Collaborative, technically strong team.
• Exposure to Microsoft technologies and AI data solutions.
• Freedom to propose solutions and influence technical decisions.
• Continuous learning through certifications and training.