Amazon

Data Engineer II, ISS

Posted On

Feb. 5, 2026

Location

Hyderabad, Telangana

Experience Level

Freshers/Experienced

Job Type

Business Intelligence

Apply By

Feb. 24, 2026

Job Description

Join us in the International Seller Services Central Analytics Team and Tackle Data Warehousing and Reporting Challenges!

We are a dedicated group of BIE, DE, DS, AS and BAs within the Seller Services organization at Amazon. Our mission is to deliver data-driven analytical solutions that empower sellers to thrive on Amazon's global platform. We specialize in constructing and maintaining intricate standard data pipelines that are used by thousands of users across the globe to measure, derive and analyze performance of the sellers selling on Amazon.

We are currently in search of a brilliant, self-driven, and seasoned DE II to join our team. In this role, you will have the opportunity to work on building scalable solutions, including extensive data models and complex ETL pipelines and utilize your expertise to raise the bar on data timeliness, discoverability and availability of the same.

Key job responsibilities
• Design and implement scalable, secure data pipelines and infrastructure using AWS technologies and big data tools
• Build and maintain high-performance ETL processes that handle large-scale, complex datasets
• Architect end-to-end analytical solutions that are highly available, stable, and cost-effective
• Transform raw data into actionable insights through effective data modeling and integration
• Implement best practices in data system creation, data integrity, and documentation
• Proactively identify opportunities for process improvement and automation
• Partner with business stakeholders to gather requirements and translate them into technical solutions- 3+ years of data engineering experience
- 4+ years of SQL experience
- Experience with data modeling, warehousing and building ETL pipelines
- 3+ years of developing and operating large-scale data structures for business intelligence analytics using data modeling experience

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