Uber - Sunnyvale, CA
posted 3 months ago
The real-time data analytics platform at Uber is powered by Apache Pinot and Presto, hosting critical business use-cases such as external facing dashboards like the Eats Restaurant Manager, in-app features like Eats recent search, and operational platforms for various business organizations including Rides, Eats, Freight, Infra, and Ads. This platform is designed to support sub-second SQL analytics with high query throughput on real-time data, making it essential for data-driven decision-making and operational efficiency across multiple lines of business. As a member of the Real Time Analytics team, you will be instrumental in launching various features for the user-facing analytics platform. Your work will directly impact the efficiency and effectiveness of data utilization within the company. You will also have the opportunity to represent Uber in open source communities for Apache Pinot and Presto, which are leading technologies in the field of Big Data and real-time analytics. This role not only involves technical expertise but also collaboration with cross-functional teams to ensure that the analytics infrastructure meets the growing needs of the user base. In this position, you will design and build a high-performance real-time analytics infrastructure, focusing on scalability, reliability, and efficiency. You will work with related data infrastructure technologies such as Apache Kafka, Apache Flink, Apache Spark, and HDFS. Additionally, you will mentor junior engineers, fostering a culture of knowledge exchange and continuous improvement within the team. Your contributions to the open-source Apache Pinot community will also be a key aspect of your role, allowing you to engage with other professionals in the field and enhance your own skills and knowledge.