Amazon

Data Engineer II, Project Tatsumi

Posted On

April 27, 2025

Location

Bengaluru, Karnataka

Experience Level

Freshers/Experienced

Job Type

Business Intelligence

Apply By

June 24, 2025

Job Description

The Amazon Pricing & Promotions Analytics team seeks a Senior Data Engineer to build automated pricing solutions that deliver competitive prices to customers. In this role, you will design and implement data analytics solutions that drive pricing decisions while creating automated anomaly detection systems to monitor pricing effectiveness. Your responsibilities include analyzing customer behavior patterns to inform pricing strategy and developing actionable insights for senior leadership to guide business decisions. You will partner with stakeholders to implement data-driven pricing recommendations. Your work will directly impact Amazon's pricing strategy and customer experience. The position requires expertise in data analysis and a track record of translating complex data into clear business recommendations.

Key job responsibilities
- Design and implement modern data pipelines and business intelligence solutions
- Configure and optimize AWS services including EC2, RDS, Redshift, Kinesis, EMR, and Lambda
- Create scalable data architecture to support analytics, data science, and customer reporting needs
- Collaborate with technology teams to develop ETL processes across multiple data sources
- Automate reporting systems and enhance self-service analytics capabilities for customers

About the team
The Pricing and Promotions team drives Amazon's success by developing automated pricing systems and enabling data-driven decisions at scale. We optimize pricing strategies to benefit customers and sellers while considering both immediate and long-term business impacts. Our scope spans the entire customer journey, from product sourcing to customer experience, ensuring pricing decisions enhance Amazon's competitive advantage.- 3+ years of data engineering experience
- 4+ years of SQL experience
- Experience with data modeling, warehousing and building ETL pipelines

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