Senior Data Engineer (Python + Airflow)

Description

Job Summary: We are seeking a Senior Data Engineer with expertise in Python and Airflow to develop and maintain scalable data pipelines within a modern architecture. Key Highlights: 1. Develop and maintain scalable data pipelines with Airflow 2. Create and integrate APIs and data applications with Python 3. Participate in architecture decisions and technological evolution **Description:** We are looking for a Senior Data Engineer with expertise in Python and Airflow to work on developing and maintaining data pipelines within a modern, data-oriented architecture. The ideal candidate values engineering best practices, is well-versed in the AWS ecosystem, and is passionate about building efficient and robust solutions. Responsibilities and Duties Develop and maintain scalable and reliable data pipelines using Airflow; Create and integrate APIs and data applications using Python; Collaborate with technical teams (Architecture, Security, Infrastructure) and business units to deliver solutions aligned with strategic objectives; Ensure code quality and performance, focusing on best practices, testing, and version control; Proactively identify and resolve technical issues with initiative and accountability; Participate in architecture decisions and the technological evolution of the data platform. Requirements and Qualifications Advanced experience in Python development for data engineering; Proficiency in orchestrating pipelines with Airflow; Practical experience with AWS data services (EMR, RDS, S3, Lambda, etc.); Knowledge of building and consuming REST APIs; Familiarity with data structures, coding best practices, and maintainability; Basic understanding of CI/CD processes and version control with Git. 2511220202461550402