QA Engineer – Data

Job not on LinkedIn

🔥 14 minutes ago

🇲🇾 Malaysia – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🔧 QA Engineer (Quality Assurance)

👻 Ghost score 10%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Keypath Education

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 2014

💼 Consulting

🏥 Healthcare

📣 Marketing

Consulting • Healthcare • Marketing

Keypath Education is a global educational technology company that partners with universities to design, market, and deliver career-focused online higher-education programs. It operates an end-to-end technology and data platform (KeypathEDGE) to power program selection, predictive analytics, learning design, student recruitment, and student experience — including clinical and field placement management — serving university partners across the US and Asia-Pacific with particular emphasis on scaling healthcare programs.

📋 Description

• Champion data quality across platforms, pipelines and reporting solutions • Test and validate data transformations, integrations and data products • Develop and maintain automated testing solutions • Partner with Data Engineers, Analysts and Product teams to define quality standards and embed best practices • Investigate data issues, identify root causes and implement sustainable solutions • Validate dashboards, reports and analytics products • Contribute to QA frameworks, testing practices and data governance standards • Help shape quality engineering within a modern cloud-based data environment

🎯 Requirements

• Experience in Data QA, Data Engineering, Software Testing or a related technical field • Strong SQL skills and ability to validate, analyse and troubleshoot data • Experience testing data pipelines, data warehouses, reporting solutions or analytics platforms • Exposure to automated testing, scripting or programming languages such as Python • Strong understanding of data quality principles • Excellent problem-solving skills • Ability to work effectively with technical and non-technical stakeholders • Collaborative mindset, growth mentality and eagerness to learn new technologies and approaches • Experience with modern cloud data platforms such as Microsoft Fabric, Snowflake or similar technologies highly regarded • Candidates must reside in Malaysia with full working rights

🏖️ Benefits

• Flexible “Work Anywhere in Malaysia” model (remote, hybrid or office) • High-growth environment with strong career development opportunities • Company-provided laptop and essential equipment • Medical & Dental benefits • Health and wellbeing support • Continuous learning and career development: LinkedIn Learning, Career development programs & Internal learning labs • Employee-led initiatives, including Culture Club and more • Regular company events—both in-person and virtual • Inclusive hiring support throughout the recruitment process