DESCRIPTION:
After building a proven Data Mesh architecture across thousands of users, we are re-imagining our data ecosystem as an AI-First, Native-AI platform that powers the next generation of intelligent financial automation. FinAuto team at Amazon is looking for a Data Engineer to play a critical role in building AI-ready, high-scale financial data products that enable autonomous insights, intelligent workflows, and data-driven decision making at enterprise scale.
- Solid expertise in core data engineering fundamentals including ETL/ELT, distributed processing, data modeling, orchestration, and reporting systems
- Experience building scalable and reliable data pipelines handling massive datasets with high availability and performance requirements
- Good understanding of dimensional modeling, data governance, lineage, observability, and data quality frameworks
- Familiarity with AI/ML data requirements including feature-ready datasets, vectorizable data structures, metadata management, and semantic discoverability




- Ability to think in terms of reusable data products instead of siloed pipelines
- Excellent problem-solving abilities, ownership mindset, and a passion for simplifying complex data ecosystems
- Strong written and verbal communication skills with experience partnering across engineering, finance, product, and senior leadership teams

Join our exceptional team where you'll solve complex data challenges while working alongside industry-leading engineers building Amazon’s AI-First finance data ecosystem. You will have the opportunity to influence the future of enterprise-scale data products, contribute to Native-AI platform modernization, and build systems that power intelligent automation for one of the world’s largest FinOps organizations.

Key job responsibilities
- Build and maintain scalable, reliable data pipelines and datasets on AWS (S3, EMR, Redshift, Glue) to support Finance analytics and reporting
- Develop and enhance AI-ready and analytics-

📌 Data Engineer, Finauto, Accounts Receivable Data Engineering (Hyderabad)
🏢 ADCI HYD 13 SEZ
📍 Hyderabad