Senior Data Engineer

PagBank

Data Engineer responsible for optimizing data pipeline structures and collaborating with executive stakeholders at PagBank. Ensuring data quality and supporting business information needs.

Posted 7/15/2026full-timeSao Paulo • 🇧🇷 BrazilSeniorWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in building and maintaining data pipeline structures and scalable data architectures, ensuring high performance and quality. Proficient in SQL and experienced with AWS, Jenkins, and Git to support data infrastructure needs.

Highest-signal resume keywords

SQL ProficiencyAWS ExperienceETL Process OptimizationData Monitoring KnowledgeDimensional Data Modeling

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

SQLETL ProcessesQuery TuningDimensional Data ModelingData ModelsMetrics

Soft Skills

Quality AssuranceDocumentation

Tools & Technologies

AWSJenkinsGitAirflowAmazon S3

Industry Keywords

Data PipelineData ArchitectureKPIReportingDashboards

Tech Stack

Tools & technologies

AirflowAWSETLJenkinsSQL

About the role

Key responsibilities & impact

Create and maintain data pipeline structures with optimized performance.
Build scalable data architectures that meet business functional and non-functional requirements.
Work closely with executive stakeholders in Product and other areas to provide a data infrastructure that supports their data and information needs.
Document the team's 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 data structures developed by other team members.

Requirements

What you’ll need

Bachelor's degree in Computer Science, Engineering, Information Systems or related fields.
Proficient in SQL.
Experience with technologies: AWS (general), Jenkins, and Git.
Familiarity with KPIs, reporting, and dashboards.
Experience building and optimizing ETL processes.
Knowledge of dimensional data modeling.
Experience in query tuning.
Basic knowledge of data monitoring.
Knowledge of Airflow.
Knowledge of Amazon S3.
Experience with data models and metrics.
Experience with SQL and query tuning.

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.
Discounts of up to 50% on postgraduate courses and MBAs at major institutions such as FIA, FAAP, and PUCRS.
No dress code: wear what makes you comfortable.
#TáDeParabéns: Day off on your birthday.
Baby Gift: present for newborns.