Junior Data Engineer

Description

Job Summary: A professional to develop ETL in Python, orchestrate data with Airflow, assist in data visualization with Tableau, and apply best practices for data quality and governance. Key Highlights: 1. ETL Development with Python 2. Data Orchestration with Apache Airflow 3. Maintenance and Development of Data Sources for Tableau **Responsibilities:** * ETL Development: Support the creation of Python scripts for data extraction, transformation, and loading; * Orchestration: Monitor and create simple workflows using Apache Airflow to ensure data timeliness; * Data Visualization: Assist in maintaining and developing data sources for Tableau, ensuring dashboard performance; * Quality and Governance: Apply best practices for code documentation and versioning (Git); * Technical Support: Address simple access issues or pipeline failures under technical leadership supervision. **Required Qualifications:** * Bachelor's degree in Computer Science, Engineering, Systems Analysis, or related fields (completed or in progress); * Basic knowledge of Python; * Basic knowledge of SQL; * Conceptual understanding of orchestration tools (e.g., Airflow) and BI tools (e.g., Tableau); * Basic knowledge of cloud environments (e.g., GCP or AWS); * Familiarity with Docker or virtualized environments; * Proactive problem-solving attitude and ability to collaborate effectively within multidisciplinary squads (Product, Business, and Engineering). **ATTENTION!** **For this position, the work model is hybrid, requiring easy access to our office located in Barueri/SP.**