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Staff Software Engineer
3 months ago
Staff Software Engineer - Real Time Analytics
Backend, Engineering
Sunnyvale, California | San Francisco, California
About the Role
The real-time data analytics platform at Uber is powered by Apache Pinot and Presto. We host top-tier business critical use-cases such as external facing dashboards like the Eats Restaurant Manager, in-app features such as Eats recent search or Uber Freight carrier score and critical operational platforms for various business orgs such as Rides, Eats, Freight, Infra, Ads etc. Our platform supports sub-second SQL analytics with a high query throughput on real-time data.
As part of the Real Time Analytics team, you will play a pivotal role in launching various features for user-facing analytics platform that directly impact multiple lines of businesses, enabling data-driven decision-making and operational efficiency. You will also have the opportunity to represent Uber and collaborate in open source communities for Apache Pinot and Presto, both leading technologies in the realm of Big Data and real-time analytics.
What the Candidate Will Do
Design and build a high-performance real-time analytics infrastructure, prioritizing scalability, reliability, and efficiency.
Work with related data infrastructure technologies such as Apache Kafka, Apache Flink, Apache Spark, and HDFS.
Collaborate with multiple cross-functional teams to define requirements and translate them into technical specifications.
Devise and implement solutions that seamlessly scale with the growing needs of our user base.
Mentor junior engineers, fostering a culture of knowledge exchange and continuous improvement.
Actively contribute and engage in the open-source Apache Pinot community.
Basic Qualifications
BS or MS in Computer Science or a related technical discipline, or equivalent experience.
Highly proficient in one of the following programming languages: Java, Go, C/C++.
Systematic problem solving approach and knowledge of algorithms, data structures and complexity analysis.
6+ years of experience in building and managing distributed systems. Sound understanding of distributed system fundamentals.
Preferred Qualifications
Under the hood experience with Apache Pinot, Apache Druid, Apache Flink, Clickhouse, Apache Spark or similar analytics technologies is a strong plus
Experience managing large-scale critical production systems with a strong availability SLA is highly desirable
For San Francisco, CA-based roles: The base salary range for this role is USD$218,000 per year - USD$242,000 per year.
For Sunnyvale, CA-based roles: The base salary range for this role is USD$218,000 per year - USD$242,000 per year.
