Our organization builds the data foundations that power the future of online shopping. With ever expanding selection, and ambient computing looming on the horizon, our mission is to build a current shopping experience, beyond search & browse, helping busy customers easily find low-regret products that meet their in-the-moment need. You will have opportunity to closely work with teams who are building Agentic AI powered CX.

An ideal individual is someone who has deep data engineering skills around ETL, data modeling, database architecture and big data solutions. This individual should have strong business judgement, excellent written and verbal communication skills.

Key job responsibilities
- We're looking for an intermediate-level Data Engineer to design and implement data products and solutions that power our shopping platforms.
- You'll own medium to large data initiatives, participate in architectural discussions, build data systems that can scale to PB and streaming data with 100K TPS




- You will be responsible for building data products that power mission critical analytical reports and metrics for Amazon AI products that are viewed at the highest levels in the organization.
- You should have deep expertise in the design, creation, management, and business use of extremely large datasets.
- This role involves building scalable data systems while maintaining high standards of data quality and reliability.
- You will utilize Agentic AI to build data products and solutions
- You will mentor entry-level engineers.

A day in the life
This data engineer designs, builds, and maintains scalable data pipelines that transform raw information into reliable, high-quality datasets for analytics and machine learning. Each day involves design discussion with engineering teams for instrumentation, seek out innovative approaches to design/update data flows, and collaborating with with other internal teams to integrate your data products with theirs and ensure timely, trustworthy d

📌 Data Engineer, Conversational Shopping Data Engineering (Bengaluru)
🏢 Amazon
📍 Bengaluru