Data Engineer II
Amazon - Hyderabad, Telangana, IND
Posted Mar 2, 2026
Benefits
- Parental leave
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- Non-birth-parent leave
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- Family-building benefits
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- Fertility benefits: Not verified
- Adoption assistance: Not verified
- Surrogacy assistance: Not verified
- Mental health support
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- Relocation assistance
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- Childcare support
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- Learning budget
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- Verification
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- Salary
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Schedule
- Shift type
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- Weekend work
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Application
- Cover letter
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- Assessment
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- Deadline
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Where they hire
State eligibility is not yet verified.
About this role
Data Engineer II Hyderabad, Telangana, IND Are you interested in helping Amazon ensure that customers make great purchase decisions and enable the world's most recognized Brands using Amazon to have the best experience listing and selling their products? The Transparency team is seeking a skilled and experienced Data Engineer II who is excited about owning the data space for Transparency. To be successful in this role, you must have a high capacity for Ownership, Bias for Action and Learn and Be Curious. You must be comfortable dealing with ambiguity, be an effective communicator, and be organized. Our business moves rapidly, and it's important to be able to adapt to these changes while bringing relevant team members along the journey. You will have a high latitude on decision-making, and will work directly with engineering, business and operations stakeholders to define strategy and requirements, and then lead projects from design through delivery. This is a global role that will include interaction with brands, tech teams, business development, operational teams, and stakeholders across US, EU, CN and IN. Key job responsibilities - Design, build, and maintain an analytical platform providing access to large datasets and computing power. - Design, build and maintain data clusters providing access and insights for business needs. - Design build and maintain data pipelines to transport relevant data to the right destinations. - Implement data structures using best practices in data modeling. - Collaborate with Analytics team to implement advanced analytics and GenAI algorithms that exploit our rich data
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