Data QA Engineer

3 months ago

Hawthorn East, Australia Michael Page Full time
  • Hybrid Work Model
  • Contribute to projects that enhance data quality and strengthen data operations

About Our Client

My client is a retail giant in Australia who provide fresh produce, general merchandise, liquor and fuel to millions of customers. With over 2,200 locations nationwide and over 100,000 employees they have a reputation for excellence in their industry. The team culture is fantastic with a customer driven approach and a focus on goals and values. They are looking for someone in this role who can hit the ground running and add value to their highly motivated team.

Job Description

  • Data Validation and Testing: Design and implement comprehensive test plans and cases to ensure data quality, integrity, and completeness in databases and ETL pipelines. Familiarity with testing methodologies like BDD and TDD is essential.
  • Test Automation: Develop automated data testing frameworks using tools such as SQL and Python to streamline QA processes and improve efficiency.
  • Data Integrity: Perform rigorous validation to detect data integrity issues, schema mismatches, and inconsistencies across the system.
  • Cross-Functional Collaboration: Work closely with Data Engineers, Data Scientists, and Business Analysts to understand data requirements and ensure thorough test coverage.
  • Performance Testing: Test the scalability and performance of data pipelines, ensuring they meet required throughput, latency, and stability metrics.
  • Defect Tracking and Reporting: Document and track data quality issues through resolution using tools like Jira.
  • Compliance and Security: Ensure data testing complies with security standards, regulations, and data governance policies.
  • Continuous Improvement: Stay updated on the latest tools, technologies, and practices to drive ongoing improvements in data testing processes.

The Successful Applicant

  • Strong experience in data QA, including SQL and ETL processes
  • Proficiency in automated testing using Python
  • Excellent problem-solving skills and attention to detail
  • Ability to analyze complex data flows and ensure data integrity
  • Effective communication skills for working with technical and non-technical teams
  • Familiarity with cloud platforms, data governance, and CI/CD tools preferred

What's on Offer

  • Attractive daily rate
  • Hybrid flexible working arrangements
  • On-site cafe
  • Fitness club facilities

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