Senior Test Engineer Automation (Python)

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Dev.Pro

πŸ“Remote - Brazil

Summary

Join a team as a Senior Test Engineer contributing to a large-scale data modernization effort for a major enterprise client. You will support the migration and transformation of complex legacy data pipelines to a modern cloud environment. The role involves creating and maintaining comprehensive automated tests to ensure quality and reliability. You will collaborate with a fully integrated delivery team in an Agile setup, leveraging tools like GCP, dbt, and Copilot. The position requires 5+ years of experience in test automation and data validation, expert-level SQL skills, and strong Python or Java skills. The company offers a 99.9% remote work environment, generous paid time off, partially covered health insurance, and professional development opportunities.

Requirements

  • 5+ years of commercial experience in test automation and data validation
  • Expert-level SQL skills for writing and debugging complex queries
  • Strong skills in building and maintaining test automation frameworks using Python (Pytest) or Java
  • Hands-on experience testing data-intensive applications, including data reconciliation, schema validation, and end-to-end ETL/ELT validation
  • Practical experience with core GCP data services (BigQuery, GCS, Pub/Sub)
  • Experience using AI-powered tools like GitHub Copilot to speed up test automation
  • Proactive communication and strong cross-functional collaboration skills
  • Excellent analytical skills and attention to detail
  • Upper-Intermediate+ English level

Responsibilities

  • Design and lead the end-to-end test automation strategy with a focus on data integrity, reconciliation, and validation
  • Build and maintain test automation frameworks using Python (Pytest) for data pipelines, APIs, and integrations
  • Integrate automated tests into CI/CD pipelines for continuous testing and fast feedback
  • Design and run data reconciliation tests to verify the accuracy of migrated data
  • Collaborate with engineers to analyze legacy Airflow DAGs logic and ensure full coverage during migration
  • Work with developers to shift testing left, review designs, and promote a culture of quality

Preferred Qualifications

  • Basic experience with dbt and dbt test framework
  • Familiarity with containerization using Docker
  • Experience testing applications built with Apache Spark (Dataproc) or Apache Beam (Dataflow)

Benefits

  • Join a fully integrated delivery team built on collaboration, transparency, and mutual respect
  • Play a key role in ensuring quality for a high-impact data platform transformation in a production environment
  • Collaborate in a true Agile setup, growing your expertise in data platform testing, automation, and tools like GCP, dbt, and Copilot
  • We are 99.9% remote β€” you can work from anywhere in the world
  • Get 30 paid days off per year to use however you like β€” vacations, holidays, or personal time
  • 5 paid sick days, up to 60 days of medical leave, and up to 6 paid days off per year for major family events like weddings, funerals, or the birth of a child
  • Partially covered health insurance after the probation, plus a wellness bonus for gym memberships, sports nutrition, and similar needs after 6 months
  • We pay in U.S. dollars and cover all approved overtime
  • Join English lessons and Dev.Pro University programs, and take part in fun online activities and team-building events

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