Data Qa Engineer

Details of the offer

About Our Client My client is a retail giant in Australia who provides 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 processesProficiency in automated testing using PythonExcellent problem-solving skills and attention to detailAbility to analyze complex data flows and ensure data integrityEffective communication skills for working with technical and non-technical teamsFamiliarity with cloud platforms, data governance, and CI/CD tools preferredWhat's on Offer Attractive daily rateHybrid flexible working arrangementsOn-site cafeFitness club facilities #J-18808-Ljbffr


Nominal Salary: To be agreed

Source: Talent_Dynamic-Ppc

Requirements

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