Overview
On Site
USD 218,000.00 - 242,000.00 per year
Full Time
Skills
C++
Real-time
Data Analysis
Use cases
Decision-making
Operational efficiency
Open source
Big data
Apache Kafka
Apache Flink
Apache Spark
Continuous improvement
Computer science
Programming languages
Problem solving
Data structure
Distributed computing
Analytics
Apache HTTP Server
Dashboard
ADS
SQL
Data
Pivotal
IMPACT
Collaboration
Leadership
Design
Scalability
HDFS
Specification
Mentorship
Microsoft Exchange
Java
C
Algorithms
Management
Job Details
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 , in-app features such as Eats recent search or 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 ----
For Sunnyvale, CA-based roles: The base salary range for this role is USD$218,000 per year - USD$242,000 per year.
For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. You will also be eligible for various benefits. More details can be found at the following link .
Uber is proud to be an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing .
Offices continue to be central to collaboration and Uber's cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this 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 , in-app features such as Eats recent search or 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.
- 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.
- 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 Sunnyvale, CA-based roles: The base salary range for this role is USD$218,000 per year - USD$242,000 per year.
For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. You will also be eligible for various benefits. More details can be found at the following link .
Uber is proud to be an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing .
Offices continue to be central to collaboration and Uber's cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.