Big Data Engineer III
Amazon - Chennai, Tamil Nadu, IND
Posted Apr 16, 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
Big Data Engineer III Chennai, Tamil Nadu, IND Amazon's Profit Intelligence is seeking a talented Big Data Engineer to join the Profit Intelligence team. We develop software solutions that are revolutionizing Amazon business intelligence through advanced algorithms running on big data technologies. The ideal candidate thrives in a fast-paced environment and relishes working with petabytes of extremely complex and dynamic data. In this role you will be part of a team of high caliber data and software engineers to build data pipelines using big data technologies such as Apache Spark, Hive/Hadoop, and distributed query engines. You should be passionate about working with big data and have the aptitude to incorporate new technologies and evaluate them critically. You must possess excellent business and communication skills and be able to work with business owners to analyze requirements and build solutions. You are a self-starter, has a proven track record of dealing with ambiguity and working in a fast-paced, highly dynamic environment. Working experience of any one of the programming languages such as Java, C#, Scala, etc. is a big plus. Key job responsibilities Interface with PMs, business customers, and software developers to understand requirements and implement solutions Collaborate with both Retail Finance and central FP&A teams to understand the interdependence and deliverables Design, develop, and operate highly-scalable, high-performance, low-cost, and accurate data pipelines in distributed data processing platforms with AWS technologies Recognize and adopt best practices in data processing, reporting, and analysis: data integrity, test design, analysis, validation, and documentation Keep up
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