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Gauge

Data Engineer, Mid-level

Gauge

Data Engineer developing and evolving data pipelines for various business areas at Stefanini Group. Collaborating in an agile environment to ensure data quality and incident resolution.

Posted 7/3/2026full-timeSão Paulo • 🇧🇷 BrazilMid-LevelSeniorWebsite

Tech Stack

Tools & technologies
AirflowAWSAzureGoogle Cloud PlatformPythonSQL

About the role

Key responsibilities & impact
  • Develop and evolve data pipelines for different business areas.
  • Model, transform and optimize data for analytical and operational consumption.
  • Ensure maintenance, monitoring and quality of pipelines in production.
  • Work on incident resolution and continuous improvements to the data architecture.
  • Collaborate with Product Owners and business teams in an agile environment.

Requirements

What you’ll need
  • Experience with SQL and tools such as Dataform, dbt, Airflow or similar.
  • Knowledge of cloud data architecture (GCP, AWS or similar).
  • Experience with data modeling (Bronze, Silver and Gold).
  • Experience with agile methodologies and complex corporate environments.
  • Nice-to-have: Python.
  • Experience with Looker or Power BI.
  • Experience with Azure or OCI.
  • Experience with MuleSoft or Sensedia.
  • Experience in the insurance, financial or commercial sectors.

Benefits

Comp & perks
  • Meal Allowance / Food Voucher
  • Health insurance
  • Dental insurance
  • Day Off
  • Gympass / Totalpass
  • Childcare assistance
  • Pet assistance
  • Fuel allowance
  • Home office allowance
  • Educational reimbursement
  • Free online health platform
  • E-learning - Stefanini Academy with a variety of courses
  • Mentoring - Mentoring platform (An opportunity to meet people, develop skills and share experiences.)
  • Discounts at institutions for Undergraduate, Graduate, Language courses and other training
  • Perks and discounts at top establishments

ATS Keywords

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Applicant Tracking System Keywords

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

Hard Skills & Tools
Data TransformationData Pipeline DevelopmentIncident ResolutionData Quality AssuranceData Architecture Optimization
Soft Skills
CollaborationContinuous Improvement