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Are you a data-driven problem solver passionate about building scalable systems that drive customer trust and business growth? Join our innovative MADS Ads Data systems in Toronto, where we're expanding to meet increasing customer demand.

We provide a secure, privacy-safe, and cloud-based environment for advertisers to perform advanced analytics across multiple data sets and generate actionable insights. Our services ingest and process billions of behavioral signals daily, making speed, scale, and accuracy critical to our success.

You'll work in exciting computer science domains, managing massive-scale streaming systems, applying machine learning and data science expertise using Big Data (e.g. Spark) technology to drive optimizations and insights.

We're seeking experienced, motivated software engineers with a proven track record in data engineering and scalable web services. If you're passionate about developing analytical solutions to solve complex business problems and driving results that impact Amazon's business, this is the right opportunity for you.

The ideal candidate is innovative, with excellent problem-solving, analytical, and technical skills. You're comfortable working on Linux systems and have a deep understanding of agile software development. You excel at building exceptional customer relationships, uncovering the true requirements behind feature requests, and simplifying complex problems to tackle challenges.

Join our team and be part of a dynamic and collaborative environment where you can make a significant impact on Amazon's advertising solutions. - 3+ years of non-internship professional software development experience

• 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
• Experience programming with at least one software programming language - 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
• Bachelor's degree in computer science or equivalent

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

The base salary range for this position is listed below. As a total compensation company, Amazon's package may include other elements such as sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon offers comprehensive benefits including health insurance (medical, dental, vision, prescription, basic life & AD&D insurance), Registered Retirement Savings Plan (RRSP), Deferred Profit Sharing Plan (DPSP), paid time off, and other resources to improve health and well-being. We thank all applicants for their interest, however only those interviewed will be advised as to hiring status.