Software Engineer II

About the Role

As an Engineer on the Data Intelligence team, you will be dealing with large scale data pipelines and data sets that are critical and foundational for Uber to make decisions for better customer experience. You will be working on a petabyte scale of analytics data from the multiple Uber applications. Help us build the software systems and data models that will enable data scientists to understand our user behavior better and thrive on the data driven mindset at Uber.

What the Candidate Will Need / Bonus Points

---- What the Candidate Will Do ----

1. Responsible for defining the Data Architecture for multiple Uber teams.
2. Identify unified data models collaborating with Data Science teams
3. Streamline data processing of the original event sources and consolidate them in source of truth event logs
4. Build and maintain real-time/batch data pipelines that can consolidate and clean up usage analytics
5. Build systems that monitor data losses from the mobile sources and improve the data quality
6. Devise strategies to consolidate and compensate the data losses by correlating different sources
7. Solve challenging data problems with cutting edge design and algorithms.

---- Basic Qualifications ----

1. 5+ years of backend software engineering experience
2. Expertise in one or more object-oriented programming languages (Go, Java, Python).
3. Demonstrated experience of working with large data volumes and backend services.
4. Good problem solving and analytical skills
5. Good team player and collaboration skills.

---- Preferred Qualifications ----

Solid experience developing systems at Scale

Experience working in Data Engineering ( ETL or Streaming data) , HDFS, Apache Spark , Apache Flink , Hadoop....

Good to have experience building backend services and familiarity with one of the cloud platform ( AWS/ Azure / Google cloud)

Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuelds progress. What moves us, moves the world - let's move it forward, together.

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.

.Accommodations may be available based on religious and/or medical conditions, or as required by applicable law. To request an accommodation, please reach out to .