Engenheiro de Dados sênior

📋 Description

• Design and evolve data architectures with governance and scalability.
• Build scalable data ingestion and processing pipelines using DataOps.
• Support analytics and AI initiatives with robust data platforms.
• Collaborate with cross-functional teams to translate business needs into data solutions.
• Ensure data quality, automation, monitoring, and operational efficiency.

🎯 Requirements

• Solid experience as a Data Engineer in large-scale data environments.
• Knowledge of data architectures: Data Lake, Data Warehouse, Lakehouse, Data Mesh.
• Advanced SQL skills, including optimization of complex queries.
• Python and PySpark development.
• Hands-on with AWS data services (Glue, EMR, Redshift, S3, Step Functions).
• ETL/ELT pipelines and orchestration with Airflow and Step Functions.

🎁 Benefits

• Meal allowance or food voucher
• Discounts on courses, universities, and language schools
• Access to a corporate learning platform with free online courses
• Mentoring programs for professional development
• Healthcare benefits, including medical assistance
• Dental assistance