Data Engineer

Description

Job Summary: This professional will be responsible for defining and structuring the data environment, developing solutions for high-volume data processing, and ensuring data integrity using BI and analytics tools. Key Highlights: 1. Definition and structuring of the data environment 2. Development of solutions handling large volumes of data 3. Creation of data models and business indicators * Collaborate with Software Engineering to define and structure the data environment. * Apply data governance standards established by PagBank. * Develop solutions handling large volumes of data. * Ensure data preparation, flow, and integrity. * Create data models and business indicators. * Align requirements with development and product teams. * Build and optimize ETL processes. * Develop dashboards in Power BI. * Build, evaluate, and execute mass update scripts. Requirements: * Experience in BI/Analytics projects * Proficiency in SQL * Understanding of data modeling * Experience with ETL * Experience with Cloud (AWS) \- Redshift, S3 * Knowledge of Python, Airflow, and Power BI * Bachelor's degree completed in Engineering, Software, Systems Development, Information Technology, or related fields. Benefits 20 days of paid vacation.