Sr. Data Engineer

Role Summary

When you think about a career, what comes to mind? Purpose? Collaboration? Be a protagonist to make a difference? At PagBank we have all this and much more. 💛

We are looking for people who wear the shirt with pride. People who want to make people's financial lives easier and boost business!

Are you looking for a career that pays more? Check out this opportunity and #VemProPags!

Develop data models that support exploratory analysis, dashboards and predictive models.

Work together with Business and Data Science teams to structure analytical datasets (Data Marts, Views, Semantic Layers, Feature Store).

Design and optimize SQL queries for high-volume data analysis.

Document applied business rules.

Explore data to identify patterns, anomalies and opportunities for process improvement.

Implement good governance and data quality practices (lineage, catalog, consistency).

Support product, marketing and business teams in understanding data and enabling ad-hoc analysis.

Strong command of SQL and data modeling for analytics

Knowledge of Github

Experience in ETL/ELT and data orchestration (Airflow).

Knowledge of Data Warehouse, Data Lake or Lakehouse architectures.

Experience in cloud (AWS), especially in analytical services (Redshift).

Benefits

• Experience in applied statistics and predictive modeling (regression, clustering, etc.).
• Knowledge in AB Testing and experimentation.
• Familiarity with Machine Learning pipelines.
• Certifications in data analysis and engineering.