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 up-to-date 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

📌 Etl Test Engineer (Bengaluru)
🏢 Bahwan Cybertek
📍 Bengaluru