Develop and maintain scalable data pipelines and ETL processes to transform raw data into usable formats.

Design, implement, and optimize data models to support reporting and analytical needs.

Collaborate with business stakeholders to understand business requirements and translate them into technical specifications.

Ensure data quality and consistency across various sources by implementing data validation and cleansing techniques.

Work with cloud-based data warehouses and analytics platforms to manage and store large datasets.

Monitor and troubleshoot data pipelines to ensure reliable and timely delivery of data.

Document data processes, workflows, and best practices to enhance team knowledge and efficiency.

Create dashboards as data products as internal or external products

B.S. in Computer Engineering, Data Science, Statistics, Computer Science, or a related field.

2+ years of experience in Data Science or Analytics.

Strong understanding in SQL for data modeling and experience with database management systems such as PostgreSQL and Clickhouse.

Strong understanding of data warehousing concepts and experience with ETL tools (e.g., Airflow, dbt).

Experience with BI tools (e.g., PowerBi, Looker, Tableau)

Experience with cloud-based data platforms like AWS Redshift.

Experience with programming languages such as Python.

Excellent communication skills, with the ability to convey complex technical concepts to non-technical stakeholders.

• Competitive salary and stock options

• 30 days of paid annual leave

• Education and courses stipend

• Earn a trip anywhere in the world every 4 years

• R$1.035/month for meals allowance

• Health plan with national coverage and without coparticipation

• Dental Insurance: we help you with dental treatment for a better quality of life.

• Gympass and Sports Incentive: R$300/mo extra if you practice activities