The Trade Deskposted 18 days ago
Full-time • Mid Level
Shanghai City, IL
Professional, Scientific, and Technical Services

About the position

The Trade Desk is a global technology company with a mission to create a better, more open Internet for everyone through principled, intelligent advertising. Handling over 1 Trillion queries per day, our team works with some of the most exciting stacks to keep up with our unprecedented scale. Whether it's spark clusters, databricks, machine learning, or anything else, we choose the right technology to handle our difficult problems. Our team works together to solve these and other difficult problems. We are constantly learning, building, and working together. Our Senior Software Engineers take end-to-end ownership of designing, building, and delivering data products for our clients. You will actively participate in all aspects of this process. You will tackle petabyte-scale data challenges, large-scale distributed systems coordinating thousands of servers in both cloud and physical data centers worldwide, as well as machine learning and advanced visualizations, to name just a few. You will work on a variety of tasks, including data processing pipelines, ML pipelines, data processing automation, data governance, data visualization, data quality, data privacy, and data warehousing. You will collaborate closely with data scientists to bring exceptional solutions to our customers.

Responsibilities

  • Design, build, and deliver data products for clients.
  • Tackle petabyte-scale data challenges and large-scale distributed systems.
  • Work on data processing pipelines, ML pipelines, and data processing automation.
  • Ensure data governance, data visualization, data quality, data privacy, and data warehousing.
  • Collaborate closely with data scientists.

Requirements

  • Sustained track record of significant contributions to large data engineering projects.
  • Strong understanding of engineering fundamentals and creative problem-solving skills.
  • Experience with platforms and technologies such as Spark, .NET Core, Java, Scala, SQL Server, Docker, Kubernetes, AWS, Azure.
  • Product-focused mindset with a passion for client satisfaction.
  • Ability to work confidently and collaboratively with a team.
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