limitedDistribution · Industry Research
Data Engineer, AppStar Data Analytics & Engineering
As a Data Engineer on the AppStar DNA team, you will build and maintain data pipelines and infrastructure that support the AppStar organization. You will work across multiple data domains to develop the data infrastructure that powers analytics and reporting.
Amazon's AppStar team is revolutionizing data infrastructure to enhance analytics and reporting capabilities across e-commerce platforms.
Executive Summary
Are you passionate about building data infrastructure that powers security insights and analytics at scale? Do you want to contribute to the modernization of a security data platform that enables measurable improvements in application security across Amazon? As a Data Engineer on the AppStar DNA team (Data & Analytics Engineering), you will build and maintain data pipelines and infrastructure that support the AppStar organization. You will work across multiple data domains to develop the data infrastructure that powers analytics and reporting. You should be a builder who is passionate about data engineering and eager to learn. You thrive in solving technical problems, building reliable data pipelines, and contributing to a high-performing team. You bring solid expertise in data modeling, ETL/ELT pipeline design, and distributed data systems, and you're excited to grow your skills in modern data architectures and AWS technologies.
Source: Amazon.jobs
Original Article: https://amazon.jobs/en/jobs/10374267/data-engineer-appstar-data-analytics-engineering
See ROI in 12 weeks
Stargo users see measurable return and operational profitability gains in just 12 weeks, with non-disruptive implementation in 4 weeks or less.