Data Quality Specialist - Turkish, AGI Data Services - G T Quality
Amazon
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Preparing for this interview
Interviews for services roles keep coming back to AWS, Stakeholder management, Excel. Practise those questions before you sit with Amazon.
Questions you are likely to be asked
- Why do you want to join Amazon?
- What is your experience with Machine learning? Tell me one thing you learned the hard way.
- What is a weakness you are working on, and how?
- Tell me about yourself, and why this role is the right next step.
- Tell me about a problem you solved at work that you are proud of.
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Practise the Data Quality Specialist - Turkish, AGI Data Services - G T Quality at Amazon interview free →Quality Specialists play a vital role in establishing and maintaining comprehensive quality frameworks across our operations. Their primary responsibility begins with developing robust quality strategies Basic qualifications: - Speak, write, and read fluently in Turkish - Intermediate-level proficiency in English (B2+ or equivalent fluency by CEFR standards) - 1+ years of experience in a quality assurance, quality control, or data quality role - Experience defining, tracking, and reporting quality metrics or KPIs - Strong analytical and problem-solving skills with the ability to identify root causes and develop prescriptive actions - Experience working with data to identify trends, patterns, and quality issues - Ability to create and maintain process documentation, SOPs, or quality guidelines Preferred: - Experience leveraging technology and implementing lean principles / Six Sigma methodologies to drive process improvements or equivalent - Experience communicating with a wide range of stakeholders, including colleagues and leadership, or experience with external customer interaction - Knowledge of at least one data-focused technology tool, such as Python, SQL, Alteryx, Amazon QuickSight, or similar - Bachelor's degree in a relevant field (e.g., Linguistics, Data Science, Business, or related discipline) - Demonstrated ability to build or improve quality frameworks, audit processes, or feedback loops - Experience coaching or providing quality feedback to operations or associate-level teams - Ability to adapt to fast-paced environments with evolving workflows, priorities, and quality targets - Experience in machine learning data operations, annotation quality, or content review workflows Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( https://www.amazon.jobs/en/privacy_page ) to know more about how we collect, use and transfer the personal data of our candidates. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
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Listed on amazon · posted 2026-10-27. ApplySarthi collects openings and links to application pages; the role is advertised by Amazon, not by us.