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 settings 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 cooperative 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 Chennai
🏢 Bahwan Cybertek
📍 Chennai