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PagBank

Data Engineer, Mid-level

PagBank

Data Engineer responsible for creating scalable data structures and optimizing data pipelines at PagBank. Collaborating with cross-functional teams to ensure data quality and documentation.

Posted 4/28/2026full-timeSão Paulo • 🇧🇷 BrazilMid-LevelSeniorWebsite

Tech Stack

Tools & technologies
AirflowAmazon RedshiftApacheAWSETLJenkinsKafkaOraclePySparkPythonSQL

About the role

Key responsibilities & impact
  • 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.

Requirements

What you’ll need
  • 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.

Benefits

Comp & perks
  • 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.

ATS Keywords

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Hard Skills & Tools
data pipeline architecturedata structuresdata analysisSQLKPIsreportingdashboardsPythonETL processesdimensional data modeling
Soft Skills
collaborationdocumentationquality assurance
Certifications
Bachelor's degree in Computer ScienceBachelor's degree in EngineeringBachelor's degree in Information Systems