Amazon is seeking a talented Data Engineer to join their Display Ads Finance team, focusing on building and maintaining data infrastructure that powers critical financial reporting. This role combines technical expertise in data engineering with business intelligence, requiring strong skills in database management, ETL processes, and AWS technologies. The position offers the opportunity to work with cutting-edge cloud technologies while supporting key business decisions through data-driven insights.
The role involves designing and managing data warehouse infrastructure, creating efficient ETL pipelines, and implementing self-service data platforms using tools like Quicksight. You'll work closely with finance and business leaders to optimize data infrastructure supporting various reporting cycles. The position requires expertise in SQL, Python, and AWS services like Redshift, EMR, and S3.
As part of Amazon's Global Media, Advertising, and Corporate Development Finance team, you'll collaborate with data scientists, business intelligence engineers, and analysts to deliver high-quality data architecture. The role offers exposure to multiple aspects of Amazon's advertising business while working with various stakeholders including finance, sales, and business operations teams.
This position is ideal for someone who enjoys both technical challenges and business impact, combining data engineering expertise with financial reporting and business intelligence. You'll be responsible for establishing scalable processes for large-scale data analyses and supporting the development of performance dashboards for senior leadership review.