Full Data Engineer | Python, Spark & Airflow

Faster is looking for talented people to form a team that will act in the development area. It will be part of an environment focused on innovation and will actively participate in project growth. We are looking for a professional with good communication, who has ease of relating to people and is constantly updating in search of new knowledge in the field. This vacancy is intended for all of Brazil :) Responsibilities: • Develop and manage ETL pipelines in Python using Spark and Airflow; • Design, implement, and maintain data processing workflows; • Collaborate with data scientists to develop predictive models and machine learning algorithms; • Ensure data quality, integrity, and security; • Participate in the development of new features and improvements for existing ones; • Work closely with cross-functional teams to integrate data solutions into business processes; • Stay up-to-date with industry trends and best practices in data engineering; • Participate in code reviews and contribute to the improvement of the team's coding standards; • Develop and maintain technical documentation for data processing workflows and pipelines; • Collaborate with other teams to develop and implement data governance policies and procedures; • Ensure compliance with company policies, procedures, and regulatory requirements. Benefits: • Opportunity to work on cutting-edge projects and technologies; • Collaborative and dynamic work environment; • Professional development opportunities through training and mentorship; • Flexible working hours and remote work options; • Access to a wide range of tools and resources for personal and professional growth.