Data Engineer (DE), Amazon Marketing Cloud (AMC), Amazon Marketing Cloud (AMC)

Amazon is a global technology company that provides a wide range of products and services, including e-commerce, cloud computing, artificial intelligence, and digital streaming.
Data
Senior Software Engineer
In-Person
5,000+ Employees
5+ years of experience
AI · Enterprise SaaS
This job posting may no longer be active. You may be interested in these related jobs instead:
Data Architect, Professional Services

Senior Data Architect position at AWS Professional Services, focusing on cloud architecture, data solutions, and customer success with 3+ years experience required.

Sr Business Intelligence Engineer, Amazon Business Global Integrations, Global Integrations

Senior Business Intelligence Engineer role at Amazon Business, focusing on data-driven insights and analytics for global procurement solutions. Requires expertise in SQL, Python, and data engineering.

Data Engineer - Global Accounts, Professional Services, AWSI-SDT-APJ-Japan

Senior Data Engineer position at AWS Professional Services in Tokyo, focusing on cloud data solutions and customer engagement, requiring 5+ years of experience in data engineering and technical leadership.

Sr Business Intelligence Engineer, Pricing, Japan Consumer Innovation

Senior Business Intelligence Engineer position at Amazon Japan, focusing on pricing analytics and data solutions, requiring 7+ years of SQL experience and expertise in data science.

Sr Software Development Engineer, Analytics & Data Management, Advertising Core Services

Senior Software Engineering role at Amazon building large-scale data lake systems for advertising analytics, requiring 6+ years of experience in software development and system architecture.

Description For Data Engineer (DE), Amazon Marketing Cloud (AMC), Amazon Marketing Cloud (AMC)

Are 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 data engineers with a proven track record of solving complex data engineering problems.

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.

Last updated 8 months ago

Responsibilities For Data Engineer (DE), Amazon Marketing Cloud (AMC), Amazon Marketing Cloud (AMC)

  • Manage massive-scale streaming systems
  • Apply machine learning and data science expertise using Big Data technology
  • Drive optimizations and insights
  • Develop analytical solutions to solve complex business problems
  • Build exceptional customer relationships
  • Uncover true requirements behind feature requests
  • Simplify complex problems

Requirements For Data Engineer (DE), Amazon Marketing Cloud (AMC), Amazon Marketing Cloud (AMC)

Java
Python
Scala
  • 5+ years of data engineering experience
  • Experience with data modeling, warehousing and building ETL pipelines
  • Experience with SQL
  • Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS
  • Experience mentoring team members on best practices

Interested in this job?