Engenheiro de Dados

📋 Description

• Design and maintain data pipelines across multiple sources.
• Build analytical environments for reporting and analytics.
• Modernize data platforms with new architectures and capabilities.
• Develop and monitor data pipelines using Python, SQL and ETL/ELT.
• Model data for BI: Data Warehouse, Datamart, Data Lake.
• Ensure scalable processing with Spark and cloud-based architectures.

🎯 Requirements

• Data modeling for BI/analytics; strong DW/Datamart/Data Lake knowledge.
• Advanced SQL skills for querying, transforming, and optimizing.
• Hands-on Python for data pipelines.
• Experience with ETL/ELT, data integration patterns.
• Experience with Apache Spark and distributed processing.
• Production data pipeline monitoring and support.

🎁 Benefits

• Competitive benefits package.
• Medical and dental assistance.
• Private pension and life insurance.
• Profit-sharing and meal/food allowance.
• Transportation allowance; childcare assistance.
• Wellness and professional development opportunities.