Senior Data Engineer

New

Based in Brazil, alignment to EST working hoursFull-TimeSenior

Salary not disclosed

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Job Details

Experience: 4+ years
Required Skills: PythonSQLCloud ComputingGCPAirflowCI/CDData modelingdbtGitHub

4+ years of experience in data engineering or closely related technical roles.
Strong hands-on experience building and maintaining production data pipelines using Python.
Advanced SQL skills and experience with data modeling for analytics use cases.
Experience working with data orchestration tools such as Airflow.
Familiarity with dbt or similar transformation frameworks and collaboration with analytics teams.
Experience integrating external APIs and working with cloud environments (e.g., GCP or equivalent).
Strong ownership mindset with experience supporting production systems, including monitoring and incident resolution.
Familiarity with CI/CD practices and version control systems such as GitHub.
Ability to work effectively in ambiguous environments and make pragmatic technical decisions.

Design, build, and maintain scalable production-grade data pipelines using Python and modern data engineering practices.
Develop and optimize batch ELT workflows, ensuring reliability, performance, and data accuracy across systems.
Integrate and process data from external APIs and multiple structured/unstructured sources.
Build and maintain data models using advanced SQL to support analytics, reporting, and business intelligence use cases.
Work with orchestration tools such as Airflow to schedule, monitor, and manage data workflows.
Collaborate closely with analytics teams using transformation tools such as dbt or similar frameworks.
Ensure production system reliability through monitoring, debugging, incident response, and root-cause analysis.
Contribute to data architecture decisions, documentation, and engineering best practices across the team.

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