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Software Development Engineer (SDE), Amazon Marketing Cloud (AMC), Measurement, Ad Tech, and Data Science (MADS) – Amazon – Toronto, ON



Company: Amazon

Location: Toronto, ON

Job description: DESCRIPTIONAre you a data-driven problem solver passionate about building scalable systems that drive customer trust and business growth? Join our innovative Amazon Marketing Cloud (AMC) team in Toronto, where we’re expanding to meet increasing customer demand.
At AMC, 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 tough challenges.
Join our team and be part of a dynamic and collaborative environment where you can make a significant impact on Amazon’s cutting-edge advertising solutions.We are open to hiring candidates to work out of one of the following locations:Toronto, ON, CANBASIC QUALIFICATIONS– 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
– Bachelor’s degree in computer science or equivalent
– Computer Science fundamentals in object-oriented design
– Computer Science fundamentals in data structures
– Computer Science fundamentals in algorithm design, problem solving, and complexity analysisPREFERRED QUALIFICATIONS– 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
– Proficiency in, at least, one modern programming language such as C, C++, Java, or Perl
– Track record of contributing to large, cross-team initiatives.
– Excellent written and verbal communication skills.
– Proficiency in writing SQL, query optimization, creating data pipelines and familiarity with technologies such as Spark and DruidAmazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, disability, age, or other legally protected status. If you would like to request an accommodation, please notify your Recruiter.
The Amazon Marketing Cloud (AMC) team in Toronto is seeking a data-driven software engineer with a background in data engineering and scalable web services to join their team. The role involves working in computer science domains, managing massive-scale streaming systems, and applying machine learning expertise to drive optimizations and insights using Big Data technology. The ideal candidate is innovative, with strong problem-solving skills, expertise in agile software development, and exceptional customer relationship-building abilities. The position requires at least 3 years of professional software development experience, proficiency in at least one programming language, and a bachelor’s degree in computer science or equivalent. Experience with coding standards, code reviews, source control management, testing, and operations is preferred, along with proficiency in SQL, query optimization, data pipelines, and technologies like Spark and Druid. Amazon fosters a diverse and inclusive workplace and is an equal opportunity employer.
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Job date: Wed, 24 Apr 2024 03:34:51 GMT

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