Data Engineer II
Content + Source + Freshness • 14 Dec 2025 • 95% confidence
Offer value
Strong value due to involvement in innovative projects with cutting-edge technologies, potential for professional development, and working at a well-known company.
- Work with innovative technologies in a global company
- Strong demand for data engineering expertise
- Collaboration with leading experts in the field
- High responsibilities and project leadership expected
Pros
- Opportunity to work with vast datasets and latest AI technologies
- High demand for data engineering skills in the job market
- Professional growth through collaboration with top-tier scientists and engineers
Cons
- Possibility of high-intensity work environment
- Expectation to lead projects could be demanding
- Limited information on salary range may hinder initial understanding of compensation
Who it's for
Mid-level to Senior • Onsite in Hyderabad, India
Good fit
- Experienced data engineers
- Professionals looking to work with cutting-edge technology
- Individuals with a collaborative mindset
Not recommended for
- Those at entry-level without IT experience
- Candidates seeking a fully remote role
- Individuals uncomfortable with fast-paced tech environments
Motivation fit
Key skills
About the job
Description
Come be part of Amazon’s International Seller Services (ISS) Central Analytics Data Engineering team, where we tackle modern data challenges by combining traditional engineering practices with transformative analytics and Generative AI.
We are a team of Data Engineers supporting Applied Scientists, Data Scientists, and Economists—turning machine learning, deep learning, and AI research into scalable products that delight our customers worldwide.
About the Role
ISS is seeking a highly motivated, experienced Data Engineer to help design and build the next generation of Data and ML infrastructure to power GenAI applications.
Key job responsibilities
As a Data Engineer, you will provide technical leadership, lead data engineering initiatives and build end-to-end analytical solutions that are highly available, scalable, stable, secure, and cost-effective.
You are passionate about working with huge datasets and have experience with the organization and curation of data for analytics. You have a strategic and long term view on architecting advanced data eco systems.
You are experienced in building efficient and scalable data services and have the ability to integrate data systems with AWS tools and services to support a variety of customer use cases/applications.
Design, implement and operate large-scale, high-volume, high-performance data structures for analytics and data science.
Implement data ingestion routines using best practices in data modeling, ETL/ELT processes by leveraging AWS technologies and big data tools.
Gather business and functional requirements and translate these requirements into robust, scalable, operable solutions with a flexible and adaptable data architecture.
Collaborate with engineers to help adopt best practices in data system creation, data integrity, test design, analysis, validation, and documentation
Identify opportunities in existing data solutions for improvements
