AirFlow Developer | Python | Data Engineering

Who we are: Smarthis is a reference in digital transformation in Latin America, operating in more than 25 countries with a team of 200+ specialists passionate about innovation. Our expertise lies in integrated end-to-end solutions, combining: Artificial Intelligence, Intelligent Agents (Agentic AI), Data & Analytics, Process Automation and Orchestration. We work side by side with the largest global technology providers, aligning advanced solutions with our clients' business strategies. Our commitment is to drive concrete results in various sectors, always promoting an agile, collaborative, and continuous innovation-oriented environment. Our differentiators: UiPath Diamond Partner – We are the only company in Latin America to achieve the highest level of global partnership with UiPath, which reinforces our technical excellence and commitment to quality. Glocal Approach – We deliver global technological solutions, adjusted to local realities. We consider the cultural and market particularities of each region to ensure relevance and efficiency. Where We Are: We have offices in Rio de Janeiro, São Paulo, Miami, Buenos Aires, Madrid, and Perth. But, beyond the physical location, our culture is designed to integrate people from anywhere. Whether in-person or remote, we promote real connections and build a collaborative work environment, with moments of exchange, fun, and development, such as happy hours, game nights, and conversation circles. Responsibilities and duties Your work will be to: Develop, maintain, and evolve data pipelines using Apache Airflow; Create and maintain DAGs, ensuring organization, reliability, and efficiency of flows; Develop solutions in Python for automation, processing, and data integration; Build and optimize ETL/ELT processes; Integrate different data sources, APIs, databases, and services; Monitor pipeline execution, identifying and solving failures and bottlenecks; Implement best practices for error handling, logs, retries, alerts, and observability; Act in the analysis and improvement of pipeline performance and reliability; Work together with Data Engineering, Analytics, and other Technology professionals; Participate in technical discussions, proposing improvements and contributing to the evolution of solutions. Requirements and qualifications What you need to have: Professional experience with Apache Airflow, including development and maintenance of DAGs; Solid experience with Python; Knowledge of SQL and relational databases; Experience with building and maintaining data pipelines and ETL/ELT processes; Knowledge of integration with APIs and different data sources; Knowledge of development best practices, code versioning, and Git; Ability to investigate problems, perform troubleshooting, and act in incident resolution; Good communication and ease of working in a team; Technical English for reading and understanding documentation. Excellent if you have: Experience with Docker and Kubernetes; Experience in Cloud environments; Knowledge of CI/CD tools and practices; Experience with monitoring and observability tools; Knowledge of distributed processing and data platforms; Experience with architecture and Data Engineering best practices; Certifications or courses related to Cloud, Data, or Software Engineering. Additional information The selection process: We believe that a transparent and respectful selection process is a fundamental part of a good experience. Therefore, we share the evaluation stages from the beginning: First meeting: Cultural alignment; Second meeting: Technical evaluation; Third meeting: Conversation with leadership. And you can count on feedback at each stage. We know the importance of feedback for personal and professional development, regardless of the result. Our Incentives: We believe that our main asset is people. Therefore, we offer a safe, diverse environment prepared for your professional and personal development. Check out some of the benefits and incentives you will have access to here: Profit sharing; Health and dental insurance; Flexible benefits card; TotalPass; Access to Zenklub; Language program; Partnership with FIAP; Hybrid work; Internal training and structured career plan; Flexible hours; Mentorship program; Extended parental leave; Childcare assistance. Additionally, we promote continuous exchange and learning initiatives, such as live coding, coding dojos, conversation circles, and sports practices. So, is it a match?! Then come accelerate the digital revolution with us! 🚀💚