Mattel
Technology
QualityAssurance(QAEngineer)
Neural analysis suggests this role is
optimal for mid candidates.
“Quality Assurance (QA Engineer) at Mattel. Skills: Quality Assurance, Test Automation, API Testing. Develop and execute test plans. Design and implement automated tests”
Industry & Context.
Root cause analysis
What They're Looking For.
Must Have
2+ years of QA experience, Experience with test automation frameworks, Experience with API testing, Experience with SQL, Experience with CI/CD pipelines
Nice to Have
Experience with performance testing, Experience with security testing, Experience with cloud platforms (AWS, Azure, GCP), Experience with containerization (Docker, Kubernetes), Experience with scripting languages (Python, Bash)
What You'll Do.
Develop and execute test plans
Design and implement automated tests
Write and execute SQL queries
Integrate tests into CI/CD pipelines
Perform root cause analysis
Collaborate with development teams
How You'll Work.
Team & Collaboration
Development teams; Cross-functional teams
Full Job Description
CREATIVITY IS OUR SUPERPOWER. It’s our heritage and it’s also our future. Because we don’t just make toys. We create innovative products and experiences that inspire fans, entertain audiences and develop children through play. Mattel is at its best when every member of our team feels respected, included, and heard—when everyone can show up as themselves and do their best work every day. We value and share an infinite range of ideas and voices that evolve and broaden our perspectives with a reach that extends into all our brands, partners, and suppliers. The Team: The Opportunity: Key Responsibilities * Validate consumer identity, profile, behavioral, and transactional data across all layers of the data platform, from source systems through curated analytics datasets. * Perform end-to-end dataset comparisons to ensure consumer-level records, counts, and attributes remain consistent as data moves through ingestion and transformation layers. * Reconcile consumer metrics and KPIs displayed in Tableau and ThoughtSpot dashboards against upstream source and warehouse tables. * Test ETL/ELT pipelines that ingest and transform consumer data, including events, purchases, interactions, and engagement signals. * Validate business logic related to consumer attribution, segmentation, and aggregation rules used in analytics. * Conduct row-level, aggregate-level, and trend-based testing to identify issues such as duplication, data loss, mis-joins, or incorrect consumer rollups. * Partner with data engineers and analytics teams to investigate and resolve consumer data quality issues. * Create reusable test plans, validation checklists, and reconciliation queries for consumer analytics datasets. * Document test cases, validation results, and QA approvals for consumer data releases. * Participate in Agile ceremonies, including sprint planning, backlog refinement, and retrospectives. * Contribute to the continuous improvement of consumer data QA standards, validation frameworks, and au
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