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