Junior Data Engineer

Responsibilities: - Develop and maintain data pipelines to ensure the automated and reliable collection, transformation, and delivery of information. - Execute ETL (Extract, Transform, Load) processes across various databases and external sources. - Extract and integrate data via APIs, databases, and other internal/external systems. - Develop Python and SQL scripts for process automation and data processing. - Implement and optimize data workflows, ensuring efficiency, scalability, and data quality. - Model and structure data to meet the operational and business needs of the Marketing department. - Monitoring and maintaining automated data loading and updating processes. - Supporting the identification and implementation of continuous improvements in data management and engineering processes. - Ensuring the consistency, integrity, and availability of data used by different business areas. - Providing support to the Marketing Department and internal teams, responding to requests related to data availability and processing. Required Qualifications: - Degree in Information Management, Mathematics or other similar. - Ability of data analysis. - Autonomy and conflict resolution skills. - Excellent problem-solving skills. - Knowledge of SQL and Python. - BigQuery and Google Cloud (preferred). - Fluency in English (preferred). - Portuguese and English are required. Benefits: - Meal allowance. - “On the job” training. - Dynamic environment. - Events & Team buildings. - 4 day workweek (9h per day - 36h). - 100% remote work. - Workset (PC, headphones, mouse, screen).