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.