Data Engineer III, Data Engineering India

Amazon's IN Data Engineering & Analytics (IDEA) Team is seeking a Senior Data Engineer to lead the development and management of India's largest petabyte-scale data infrastructure. This role is central to Amazon India's data engineering initiatives, focusing on building and maintaining the Unified Data and Analytics Infrastructure (UDAI). The position offers an unique opportunity to work at the intersection of technology and business, managing large-scale data solutions that serve over 200 IN businesses.

The role involves designing and implementing automation for massive data infrastructure, building solutions for system efficiency, and enabling data exploration across large datasets. You'll be responsible for implementing data access controls, designing scalable infrastructure, and interfacing with various technology teams for ETL processes using SQL and AWS technologies.

As a Senior Data Engineer, you'll be part of a team that provides central data platform services, including infrastructure for data ingestion, storage, processing, and querying. The role requires someone who can work backwards from platform requirements, communicate effectively with stakeholders, and drive operational excellence.

The ideal candidate will have extensive experience in managing large data infrastructures, working with petabyte-scale data, and building scalable solutions. You'll need to be a self-starter with strong technical background, excellent communication skills, and a passion for learning new technologies. The position offers significant growth opportunities and the chance to make high-impact business decisions while working with seasoned business leaders.

This role is perfect for someone who thrives in a fast-paced environment, is obsessed with customer delight, and can deliver high-quality results while managing complex data infrastructure projects. You'll be working with a team of talented engineers, contributing to Amazon India's data-driven decision-making capabilities through cost-effective, accessible, and timely data solutions.