Software Quality Assurance Professional

3 days ago

Melbourne, Victoria, Australia beBeeQuality Full time $100,000 - $150,000

We are seeking a highly skilled quality assurance professional to join our team in Australia. This role is critical in ensuring the integrity, accuracy, and performance of our business intelligence solutions.

About the Opportunity:

This is an exciting opportunity for a motivated and detail-oriented individual to make a real impact every day. As a software quality engineer, you will be responsible for leading the quality assurance efforts across our data and analytics platforms.

Key Responsibilities:
  • Validate data accuracy, completeness, and transformation logic across multiple systems and environments.
  • Collaborate with cross-functional teams including developers, product managers, and other stakeholders to ensure test coverage and alignment with business goals.
  • Write and optimize complex SQL queries to perform in-depth data validation and reconciliation.
  • Own the defect lifecycle : log, triage, track, and report issues using agile project management tools.
  • Mentor junior team members and provide technical guidance on software testing best practices.
  • Contribute to the development and refinement of quality frameworks, standards, and automation strategies for data testing.
  • Participate in Agile ceremonies and influence sprint planning, estimation, and retrospectives from a quality assurance perspective.
  • Support system integration testing and production validation, ensuring data quality in live environments.
  • Recommend improvements to quality processes, tools, and automation strategies for business intelligence testing.
Requirements:

To be successful in this role, you will need:

  • Proven intermediate level and higher experience in software quality assurance, with some years focused on business intelligence, data warehouse, or analytics testing.
  • Advanced SQL skills and experience validating large, complex datasets.
  • Strong understanding of extract, transform, load processes, data modeling, and data governance principles.
  • Familiarity with business intelligence tools such as Power BI, Tableau, Looker, or similar.
  • Familiarity with Agile / Scrum methodologies and tools like Azure Dev Ops, JIRA and Confluence.
  • Knowledgeable in API testing (e.g., Postman)
  • Excellent analytical, problem-solving, and communication skills.
  • Strategic thinker with a strong attention to detail and a passion for data quality.
  • Comfortable working independently and leading initiatives in a remote team environment.
  • Strong interpersonal skills with the ability to influence and collaborate across teams.
Preferred Qualifications:

Experience with cloud data platforms (e.g., Snowflake, BigQuery, Redshift) is an advantage.

Exposure to data quality frameworks or tools (e.g., Great Expectations, dbt tests).

ISTQB Advanced Level or equivalent certification.

Experience with test automation in data environments.

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