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.