Data Engineer Sênior

This role focuses on designing and implementing modern data engineering solutions that transform complex data into reliable, accessible, and valuable assets. You will build pipelines for extracting, processing, standardizing, storing, and distributing data according to established architecture and governance principles. The position combines hands-on development with cloud-based data processing, automation, and workflow orchestration. You will work extensively with the Google Cloud ecosystem and modern data transformation tools. Python, Airflow, Dataform, dbt, and Git will be part of your core technical toolkit. This is an opportunity to contribute to digital transformation initiatives while collaborating in an environment focused on technology, continuous learning, quality, and real-world business impact.

• Strong professional experience in data engineering and building data pipelines.
• Hands-on experience with Google Cloud services, particularly Dataflow, Dataproc, Cloud Run, Google Workflows, and Google Scheduler.
• Solid experience with data transformation and modeling tools such as Dataform and dbt.
• Strong knowledge of Apache Airflow for workflow orchestration.
• Proficiency in Python for data engineering and automation.
• Experience using Git for version control and collaborative software development.
• Understanding of data architecture, governance, and engineering principles.
• Ability to work with modern cloud-based data processing environments and automation practices.
• Strong analytical and problem-solving skills with attention to data quality and reliability.
• Ability to collaborate effectively with technical teams and contribute to complex digital transformation initiatives.
• Proactive mindset, ownership, and commitment to continuous learning and technical improvement.