ETL QA Engineer - Databricks, PySpark & AI-Driven Testing

Kumaran Systems

Toronto

Presencial

CAD 90.000 - 120.000

Jornada completa

hace 29 horas
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Descripción de la vacante

Kumaran Systems seeks an ETL QA Engineer with strong Databricks and PySpark experience to validate large-scale data pipelines, ensure data quality, and apply AI-assisted testing methodologies. You will work with CI/CD utilities, GitHub Copilot, and AI agents to improve coverage and efficiency, while contributing to AI-driven knowledge bases.

The role emphasizes QA best practices, data modeling understanding, and collaboration across AI, data engineering, and operations teams in a fast-paced,

Formación

  • Proven experience validating large-scale data pipelines and ensuring data quality.
  • Hands-on exposure to AI-assisted development and prompt engineering.
  • Experience building AI-driven knowledge bases or documentation systems.
  • Experience with automated testing frameworks (pytest, unittest).

Responsabilidades

  • Validate large-scale data pipelines and ensure data quality across datasets.
  • Leverage tools like GitHub Copilot and GitHub Actions/Runners to improve testing efficiency and coverage.
  • Contribute to building and validating AI-powered knowledge bases.
  • Collaborate with data engineers, QA, and AI teams to implement robust QA processes.

Conocimientos

Databricks
PySpark
ETL/ELT concepts
Data warehousing modeling
Data validation & quality checks
GitHub Copilot & Actions

Herramientas

Delta Lake
GitHub
GitHub Copilot
CI/CD pipelines

Descripción del empleo

Kumaran Systems seeks an ETL QA Engineer with strong Databricks and PySpark experience to validate large-scale data pipelines, ensure data quality, and apply AI-assisted testing methodologies. You will work with CI/CD utilities, GitHub Copilot, and AI agents to improve coverage and efficiency, while contributing to AI-driven knowledge bases.

The role emphasizes QA best practices, data modeling understanding, and collaboration across AI, data engineering, and operations teams in a fast-paced,

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