Software Development Engineer II Advertising Pr... @ Amazon
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About the Role
Do you want to work in a start-up environment backed by Amazon's resources? At Amazon, our Software Development Engineer II Advertising Products and Tech team uses Big Data to build customer trust and grow new business. Our global advertisers rely on our performance insights to drive investment in Amazon's Advertising Platform and enhance ad relevance.
Key Responsibilities
As a Software Development Engineer II Advertising Products and Tech, you will work with technologies such as Elasticsearch, Spark, Hive, Presto, and AWS services (EMR, Redshift, Kinesis, DynamoDB) to build our next generation analytics and visualization platform. You will:
- Define requirements and design robust software architectures.
- Implement, test, and support software products.
- Operate at massive scale with real-time big data processing.
- Work on streaming systems, machine learning, data science, and cloud native development.
Qualifications
Basic: 3+ years professional software development experience, 2+ years in design or architecture, and experience programming in at least one language.
Preferred: 3+ years full SDLC experience and a Bachelor’s degree in computer science or equivalent.
About Amazon
Amazon leverages e-commerce data, a service-oriented architecture, and a startup culture to drive growth in the online advertising industry. Our platform ingests billions of events daily, delivering critical insights to optimize advertising spend and measure marketing impact.
Compensation & Benefits
This position offers a base pay ranging from $129,300 to $223,600 per year, along with potential equity, sign-on payments, and other benefits. Compensation reflects market factors and individual experience.
Key skills/competency
- Big Data
- Elasticsearch
- Spark
- Hive
- Presto
- AWS
- EMR
- Redshift
- Kinesis
- DynamoDB
How to Get Hired at Amazon
🎯 Tips for Getting Hired
- Research Amazon's culture: Understand their innovation and customer focus.
- Customize your resume: Highlight big data and AWS projects.
- Prepare for coding: Practice software design and architecture questions.
- Network effectively: Connect with current Amazonians on LinkedIn.