QA Engineer

Insignia Financial

Sydney

Sur place

AUD 90 000 - 120 000

Plein temps

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Résumé du poste

Insignia Financial in Sydney is seeking a QA Engineer to join our Data Engineering team. As we roll out our new state-of-the-art data platform on Google Cloud, with the power of BigQuery and paving the way for future machine learning and AI innovations, this role will be key in ensuring the quality and reliability of our testing processes.

This is your chance to work with cutting-edge technology, contribute to modern solutions, and enhance the financial well-being of approximately 2 million

Qualifications

  • 3+ years of QA experience in data pipelines, ETL, data warehouses, or analytics platforms.
  • Familiarity with Jira and issue tracking.
  • Strong SQL skills.
  • Understanding of CI/CD pipelines and automated test frameworks.

Responsabilités

  • Ensure the quality of data pipelines, ETL processes, and data analytics solutions through rigorous testing and validation.
  • Design and execute test scripts to support data engineering initiatives.
  • Work within project teams to ensure QA keeps momentum with build activities.
  • Collaborate with Data Engineers and QA Leads to integrate tests into continuous our test framework and continuous deployment (CI/CD) pipelines.

Connaissances

SQL
CI/CD
Test automation
Data pipelines
Communication

Outils

BigQuery
Google Cloud

Description du poste

  • Work on a really leading-edge data platform in a leading edge cloud provider
  • Career development and learning opportunities in a large organisation
  • Be a part of a talented and passionate team
  • Work on a really leading-edge data platform in a leading edge cloud provider
  • Career development and learning opportunities in a large organisation
  • Be a part of a talented and passionate team
The opportunity to join our team

We have an exciting opportunity for a QA Engineer to join our Data Engineering team! As we roll out our new state-of-the-art data platform on Google Cloud, with the power of BigQuery and paving the way for future machine learning and AI innovations, this role will be key in ensuring the quality and reliability of our testing processes. This is your chance to work with cutting-edge technology, contribute to modern solutions, and enhance the financial well-being of approximately 2 million Australians.

Key Responsibilities
  • Ensure the quality of data pipelines, ETL processes, and data analytics solutions through rigorous testing and validation
  • Design and execute test scripts to support data engineering initiatives
  • Work within project teams to ensure QA keeps momentum with build activities
  • Collaborate with Data Engineers and QA Leads to integrate tests into continuous our test framework and continuous deployment (CI/CD) pipelines
What You Will Bring

We are seeking a skilled QA Engineer with a strong technical background and a passion for data quality. To thrive in this role, you will:

  • 3+ Years experience in QA as a test engineer, testing data pipelines, ETL processes, data warehouses, or analytics platforms.
  • Familiarity with Jira
  • Sound knowledge of testing in a data-centric environment (Data warehouse preferable)
  • Excellent communication skills to collaborate with cross-functional teams
  • Strong SQL skills
  • Understanding of CI/CD pipelines and automated test frameworks
People-inspired tech

Deep expertise combined with creativity can take on the trickiest of problems. Join our team of brilliant minds and mentors as we explore our way to innovation and apply technology in more human ways than ever.

Applicants will be required to provide evidence of their eligibility to work in Australia, and at a minimum be required to undertake police and basic credit checks as a condition of employment.

Please note that applications from agencies will not be considered at this time.

We acknowledge and celebrate the richness that individual differences bring to our team. If you need assistance or an adjustment during the application process, please reach out and let us know.

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