About this role

Amazon is hiring a mid-level Data Engineer based in Hyderabad, India. The posting calls out experience with Python, Scala, AWS, SQL and roughly 2+ years of relevant work. Listed education preference: a bachelor's degree or equivalent.

Role: Data Engineer
Function: data engineering
Level: mid
Track: Individual contributor
Employment: Full-time
Location: Hyderabad, India
Experience: 2+ years
Education: Bachelor's degree
Department: Software Development
Posted: Jul 2, 2026

AI Summary

Mid-level Data Engineer designing and maintaining scalable data infrastructure for Reverse Logistics. Requires 2+ years building ETL pipelines, data modeling, SQL optimization, and AWS knowledge. Collaborate with development teams to support business analytics and reporting systems.

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Job description

from Amazon careers

The Data Engineer will own the data infrastructure for the Reverse Logistics Team which includes collaboration with software development teams to build the data infrastructure and maintain a highly scalable, reliable and efficient data system to support the fast growing business. You will work with analytic tools, can write excellent SQL scripts, optimize performance of SQL queries and can partner with internal customers to answer key business questions. We look for candidates who are self-motivated, flexible, hardworking and who like to have fun.

About the team
Reverse Logistics team at Amazon Hyderabad Development Center is an agile team whose charter is to deliver the next generation of Reverse Logistics platform. As a member of this team, your mission will be to design, develop, document and support massively scalable, distributed data warehousing, querying and reporting system.

Basic Qualifications

- 2+ years of data engineering experience
- Experience with data modeling, warehousing and building ETL pipelines
- Experience with one or more query language (e.g., SQL, PL/SQL, DDL, MDX, HiveQL, SparkSQL, Scala)
- Experience with one or more scripting language (e.g., Python, KornShell)
- Knowledge of AWS Infrastructure
- Knowledge of writing and optimizing SQL queries in a business environment with large-scale, complex datasets
- Strong analytical and problem solving skills. Curious, self-motivated & a self-starter with a ‘can do attitude’. Comfortable working in fast paced dynamic environment

Preferred Qualifications

- Bachelor's degree in a quantitative/technical field such as computer science, engineering, statistics
- Proven track record of strong interpersonal and communication (verbal and written) skills.
- Experience developing insights across various areas of customer-related data: financial, product, and marketing
- Proven problem solving skills, attention to detail, and exceptional organizational skills
- Ability to deal with ambiguity and competing objectives in a fast paced environment
- Knowledge of software engineering best practices across the development lifecycle, including agile methodologies, coding standards, code reviews, source management, build processes, testing and operations

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