Amazon.com Services LLC
Technology
SoftwareDevelopmentEngineer-BigData,BrandMetricsandBenchmarks
Neural analysis suggests this role is
optimal for Mid candidates.
“Software Development Engineer - Big Data, Brand Metrics and Benchmarks at Amazon.com Services LLC. Skills: Big Data, Data Engineering, System Architecture. Design data pipelines. Build data pipelines”
What You'll Achieve.
Drive business impact
Industry & Context.
Toughest technical challenges
On-call shifts
What They're Looking For.
Must Have
3+ years software development experience, 2+ years system design or architecture experience, 1+ years big data technologies experience
Nice to Have
4+ years full software development life cycle experience, 4+ years systems architecture and design experience, Data lake design with Apache Iceberg a plus
What You'll Do.
Design data pipelines
Architect data paradigms
Enable real-time analytics
Enable machine learning applications
Collaborate with data scientists
Collaborate with product managers
Collaborate with partner teams
Deliver data solutions
Mentor junior engineers
Contribute to technical strategy
Contribute to architectural decisions
Build monitoring frameworks
Build alerting frameworks
Build data quality frameworks
How You'll Work.
Team & Collaboration
Partner teams across Amazon Ads; Cross-functional teams
Full Job Description
Are you passionate about Big Data, Distributed systems, and large scale datasets can be integrated with new state-of-the-art AI agent-friendly data interfaces? Be part of a team of world-class engineers and industry leading experts operating one of the largest big data platforms for advertising at Amazon scale. Key job responsibilities Join our team and take ownership of significant initiatives that solve some of the toughest technical challenges in big data: - Design and build highly scalable, fault-tolerant data pipelines processing petabytes of advertising data - Architect new data paradigms that enable real-time analytics and machine learning applications - Collaborate with data scientists, product managers, and partner teams across Amazon Ads to deliver data solutions that drive business impact - Mentor junior engineers through code reviews, design discussions, and pair programming - Contribute to technical strategy and architectural decisions for our data platform - Build monitoring, alerting, and data quality frameworks to ensure reliability at scale Our systems are built for stability and reliability, which means our on-call shifts are manageable and focused on continuous improvement rather than firefighting. About the team We're a collaborative team of engineers who are passionate about solving complex data challenges while maintaining a healthy work-life balance. Our engineers regularly work with latest technologies—recent projects include migrating our data lake to Apache Iceberg, implementing real-time streaming pipelines with Spark, and building unified and flexible reporting solutions. We invest heavily in your growth through mentorship programs, technical design reviews, and opportunities to present at internal tech talks. We believe in sustainable engineering practices with reasonable on-call rotations (typically one week per quarter) and flexible work arrangements. Basic Qualifications: - 3+ years of non-internship professional software development
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