Data Engineer, Amazon

Amazon's Consumer Payments organization is seeking a talented Data Engineer to join their team in Bengaluru. This role offers a unique opportunity to shape the future of global payments analytics at one of the world's leading technology companies. As a Data Engineer, you'll be responsible for developing and implementing large-scale data structures and analytics solutions that will directly impact executive decision-making worldwide.

The position involves working with global teams across Europe, Japan, US, and other regions, focusing on acquiring new merchants for Amazon's payments services. You'll be at the forefront of building new analytical experiences from the ground up, using cutting-edge technologies like AWS Redshift, SQL, Python, and various big data tools.

The ideal candidate is highly analytical, resourceful, and customer-focused, with the ability to work independently while maintaining strong team collaboration. You'll be responsible for designing and implementing data pipelines, creating efficient ETL processes, and developing robust analytics solutions that scale. This role requires both technical expertise and business acumen, as you'll be working closely with business stakeholders to gather requirements and deliver comprehensive reporting solutions.

This is an excellent opportunity for someone who enjoys working in a fast-paced environment and wants to make a significant impact on global payment systems. You'll have the chance to work with rich datasets, implement machine learning algorithms, and contribute to strategic planning discussions. The role offers exposure to cutting-edge technologies and the opportunity to work with some of the best minds in the industry.

If you're passionate about data engineering, enjoy solving complex problems, and want to be part of a team that's transforming global commerce, this role at Amazon's Consumer Payments organization could be your next career move. The position offers the excitement of building new solutions from scratch while working with a global team in a dynamic, fast-paced environment.