Etl Test Engineer

Role & responsibilities

• Experience in a Testing Engineer, QA, or test automation role (or equivalent hands-on experience).
• Working proficiency in Python and experience with pytest (or an equivalent testing framework).
• Working proficiency in SQL for validation and reconciliation.
• Familiarity with CI/CD concepts and Git-based workflows (GitHub Actions preferred).
• Demonstrated experience working in a software/data development lifecycle (e.g., requirements, acceptance criteria, UAT support).
• Strong ability to translate stakeholder needs into clear, testable requirements and communicate effectively with technical teams.
• Strong SQL skills and experience working with large datasets.
• Familiarity with modern data environments and tooling (e.g., Databricks, ETL/ELT concepts, Azure, ADF, Python).
• Experience with governed data environments and well-defined metric/rule management practices.

Preferred candidate profile

Python (pytest, unittest) for automated test development

• SQL for data validation, reconciliation, and quality checks
• Familiarity with Azure Databricks, Azure Data Factory (ADF), and modern cloud data platforms
• Understanding of ETL/ELT concepts, data pipeline workflows, and lakehouse architecture
• CI/CD pipelines using GitHub Actions test integration, reporting, and pass/fail gates
• Git-based version control and collaborative development workflows
• Data quality frameworks and tooling (e.g., Great Expectations, dbt tests)
• Test types: unit testing, integration testing, end-to-end testing, regression testing, performance testing
• Test harness development and test data management strategies
• Defect tracking and test management tools (e.g., Jira, TestRail, Zephyr)
• Understanding of data governance, Unity Catalog, and access controls