Amazon Sr Data Engineer 

India, Karnataka 

970180893

In this role, you'll leverage your expertise to transform complex financial data into actionable insights that drive marketplace expansion strategies. You'll have the opportunity to pioneer GenAI-powered data solutions that improve analytics efficiency and uncover hidden patterns in the data. Working at the intersection of big data technologies, financial systems, and marketplace economics, you'll solve technical challenges that require both deep data engineering expertise and strong business acumen.The Seller Fees Tech organization supports over 2MM+ active sellers by ensuring accurate, transparent fee calculations. Your data solutions will provide the analytical foundation for financial decisions that affect seller profitability and marketplace growth worldwide.Key job responsibilities
A. Data Architecture & Engineering
Design and implement scalable data pipelines that ingest, transform, and deliver fee transaction data across global marketplaces
Develop data models that effectively represent complex fee structures, incentives, and adjustments
Implement data quality frameworks to ensure accuracy and consistency of financial data
Create and maintain data catalogs and metadata repositories for fee-related data assets
Optimize data architecture for performance, scalability, and cost-efficiency
B. Analytics & Reporting
Develop analytical data stores that enable cross-marketplace fee structure analysis
Build dashboards and visualization solutions for monitoring fee implementation consistency
Support ad-hoc analysis needs with flexible, performant data solutions
C. Innovation & Collaboration
Pioneer GenAI adoption for advanced data analysis and pattern recognition in financial data
Work with product managers to translate business requirements into data solutions
Mentor junior data engineers and share data engineering best practices
Participate in cross-functional initiatives to drive data-driven decision making

- 5+ years of data engineering experience
- Experience with data modeling, warehousing and building ETL pipelines
- Experience with SQL
- Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS
- Experience mentoring team members on best practices

- Experience with big data technologies such as: Hadoop, Hive, Spark, EMR
- Experience operating large data warehouses