Data Quality Assurance Engineer
at Ramsay Health Care
Sydney NSW 2000, New South Wales, Australia -
Start Date | Expiry Date | Salary | Posted On | Experience | Skills | Telecommute | Sponsor Visa |
---|---|---|---|---|---|---|---|
Immediate | 10 Jul, 2024 | Not Specified | 11 Apr, 2024 | N/A | Leisure Travel,Dbt,Cloud Storage,Test Automation,Google Cloud Platform | No | No |
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Description:
- A culture-led digital strategy
- The freedom and creativity of a start-up digital team
- The challenge and opportunity of a new role
- Position is based in Sydney with hybrid home/office work flexibility
Entrepreneurial, optimistic, and energetic, Ramsay leaders have a vision to become a leader in digital health care.
KEY SKILLS AND EXPERIENCE
- Strong capability in testing frameworks such as Pytest and DBT
- Google Cloud Platform and related services like Cloud Storage, BigQuery, Cloud Run, and Cloud Functions.
- Demonstrated experience working within an agile methodology, preferably SCRUM.
- Experience implementing test automation into a CI/CD environment.
- Previous experience in the health care sector is highly desirable.
REQUIREMENTS
- A National Police check conducted within the previous 12 months may be asked of you
Responsibilities:
ABOUT THE ROLE
We are seeking a highly motivated Data Quality Assurance Engineer to join our team. The ideal candidate should have a strong background in Python development and automated testing frameworks like Pytest and strong understanding of data quality assurance frameworks.
In addition, the role requires familiarity with Google Cloud Platform and related services like cloud storage, BigQuery. Experience in Cloud Run and/or Cloud Function also nice to have.
KEY RESPONSIBILITIES
- Develop and maintain data quality assurance testing frameworks and tools using Python and/or DBT
- Collaborate with data engineer to implement and execute data quality assurance components.
- Design, integrate and implement test plan and test cases to validate data quality check align with organization business rules.
- Conduct data validation across different data sources like On-Premises SQL Server, BigQuery etc.
- Identify, analyse and troubleshoot data quality issues, anomalies and work with relevant team to resolve the issues.
- Monitor and evaluate the data quality metrics and performance indicators of data sources.
- Participate in the data quality framework implementation.
REQUIREMENT SUMMARY
Min:N/AMax:5.0 year(s)
Information Technology/IT
IT Software - QA & Testing
Software Testing
Graduate
Proficient
1
Sydney NSW 2000, Australia