AirFlow Developer | Python | Data Engineering

📋 Description

• Develop, maintain, and enhance data pipelines using Apache Airflow, ensuring workflows are
• Design, implement, and manage Airflow DAGs with a focus on clear organization, performance, and
• Build Python-based solutions for data automation, processing, transformation, and integration.
• Create, maintain, and optimize ETL/ELT processes to support data availability and quality.
• Integrate multiple data sources, APIs, databases, and services into cohesive data workflows.
• Monitor pipeline execution, investigate failures, troubleshoot incidents, and resolve performance

🎯 Requirements

• Professional experience working with Apache Airflow, including developing, maintaining, and
• Strong proficiency in Python, particularly for automation, data processing, and integration tasks.
• Knowledge of SQL and relational databases.
• Hands-on experience building and maintaining data pipelines and ETL/ELT workflows.
• Experience integrating APIs and working with multiple data sources.
• Familiarity with software development best practices, code versioning, and Git.

🎁 Benefits

• Profit-sharing program: Participation in a profit-sharing and results-based compensation program.
• Healthcare coverage: Health and dental insurance.
• Flexible benefits: Access to a flexible benefits card.
• Fitness and wellness: Access to TotalPass and Zenklub services.
• Language development: Participation in a language-learning program.
• Professional education: Access to a partnership with FIAP for learning and development