LiveRamp Ventures invests in companies that help unlock the value of data.
About the role
LiveRamp is shaping the future of responsible data collaboration between the world’s leading brands, retailers, financial services providers, and healthcare innovators. As consumers embrace new AI-driven experiences, the LiveRamp data collaboration network exponentially expands the breadth and accuracy of the data on which marketing AI capabilities operate, powering deeper customer insight and measurable performance on a global scale. LiveRamp is headquartered in San Francisco, California, with offices worldwide. Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- Experience with GCP products such as BigTable, BigQuery, Dataproc, PubSub or other data tools like Kafka, Hive, or Apache Beam
- Experience with development tools such as Terraform, Kubernetes, Helm, or Gradle
- Experience with designing and implementing interfaces and infrastructure for large scale systems and RESTful APIs
- To all recruitment agencies : LiveRamp does not accept agency resumes. Please do not forward resumes to our jobs alias, LiveRamp employees or any other company location. LiveRamp is not responsible for any fees related to unsolicited resumes
More about this role
LiveRamp is shaping the future of responsible data collaboration between the world’s leading brands, retailers, financial services providers, and healthcare innovators. As consumers embrace new AI-driven experiences, the LiveRamp data collaboration network exponentially expands the breadth and accuracy of the data on which marketing AI capabilities operate, powering deeper customer insight and measurable performance on a global scale. LiveRamp is headquartered in San Francisco, California, with offices worldwide. Learn more at LiveRamp.com .
We on the Identity Engineering team maintain the graph processing engine that connects the trillions of different identifiers for consumers and the devices they use online. Help us process this trillion edge graph as quickly and efficiently as possible.
We handle product requests and enhancements, focusing on scalability, modernization, performance, cost, security, legal compliance, reliability, and quality. Projects include architectural refreshes like POCs for batch data processing, developing new REST APIs, and migrating applications to Spark and SingleStore. These initiatives aim to improve processing speed, scalability, maintainability,...
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