As a QA Automation Engineer in our Enterprise Data department, you will be responsible for creating and managing automated tests to identify issues with the ETL process to ensure the quality of data in the Enterprise Data Warehouse.
The role involves working together with the onshore Enterprise Data team to decide on the required tests on the process, automate them through creating stored procedures, custom dbt tests and scheduling these as part of the ETL process which loads data from source into the EDW.
- Translate project requirements into effective and comprehensive test cases.
- Define clear testing objectives that align with overall project goals.
- Establish the testing scope, prioritizing critical features and functionalities.
- Document expected deliverables, such as detailed test plans, scripts, and reports.
- Use dbt to build tests that ensures the ETL process is working as intended
- Automate the common manual testing done by the QA through creating macros in dbt
- Build and monitor automated system health checks
- Collaborate with Enterprise Data Engineers to investigate root cause of issues and suggest resolutions.
- Orchestrate data testing solutions using airflow
- Be able to support the team in doing releases
- Develop and maintain test automation frameworks, integrating them with CI/CD pipelines.
- Collaborate effectively with developers to implement testing strategies at lower levels, facilitating a "shift left" approach and promoting early defect detection.
- Take ownership of application quality from requirements gathering through development and testing, ensuring a high standard of product excellence