Create and maintain data pipeline architectures with optimized performance.
Build scalable data structures that meet business functional and non-functional requirements.
Collaborate with product executive stakeholders and other teams to provide a data infrastructure that supports their data and information needs.
Document data procedures and data flows.
Implement systems and routines that monitor and ensure the quality and consistency of our databases.
Act as Quality Assurance for deliverables and structures developed by other team members.

Bachelor's degree in Computer Science, Engineering, Information Systems, or related fields.
Experience with data analysis.
Experience with SQL.
Experience with KPIs, reporting, and dashboards.
Experience with Airflow.
Experience with technologies: Oracle (OCI), Jenkins, and Git.
Experience developing in Python (data-manipulation focused).
Experience building and optimizing ETL processes.
Knowledge of dimensional data modeling.
Familiarity with AWS services (S3, Redshift).
Basic understanding of data monitoring.
Knowledge of Power BI.
Basic knowledge of Apache Kafka.
Experience with PySpark.

Meal allowance and/or meal voucher.
Health and dental insurance.
Life insurance.
Partnerships with TotalPass and ZenKlub.
Extended maternity and paternity leave.
Childcare assistance.
Up to 50% discounts on postgraduate and MBA programs at leading institutions such as FIA, FAAP, and PUCRS.
No dress code: wear what makes you comfortable.
#TáDeParabéns: Day off on your birthday.
Baby Gift: a present for newborns.

Data Engineer, Mid-level

Key skills