Data Engineer II, Time and Pay Innovation
Amazon - Hyderabad, Telangana, IND
Posted May 19, 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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- 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, Time and Pay Innovation Hyderabad, Telangana, IND Are you passionate about data and code? Does the prospect of dealing with massive volumes of data excite you? Do you want to build data engineering solutions that process billions of records and supports handling of translations data using AWS technologies? As a Data Engineer, you would own the architecture of DW solutions for the Enterprise using multiple platforms. You would have the opportunity to lead the design, creation and management of extremely large datasets working backwards from business use case. You would use your strong business and communication skills to be able to work with business analysts and engineers to determine how best to design the data warehouse for reporting and analytics. You will be responsible for designing and implementing scalable ETL processes in the data warehouse platform to support the rapidly growing and dynamic business demand for data, and use it to deliver the data as service which will have an immediate influence on day-to-day decision making. Key job responsibilities - Develop data products, infrastructure and data pipelines leveraging AWS services (such as Redshift, Kinesis, EMR, Lambda etc.) and internal BDT tools (Datanet, Cradle, QuickSight etc. - Improve existing solutions and come up with next generation Data Architecture to improve scale, quality, timeliness, coverage, monitoring and security. - Develop new data models and end to data pipelines. - Lead design reviews for other Data Engineers on the team and actively participate in design reviews of related tech products.
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