Sr. Software Engineer, Data

Delivery Data Solutions is a horizontal team responsible to transform data @Delivery to meaningful data to support analytics, metrics, power ML models and support KPIs for the domain teams through real time/batch processing. We lead the optimal data resource utilization and data quality for the organization. We provide visibility and standardization of core business metrics powered through the canonical data sets owned by the team. The team is the centre of excellence for data engineering practices across Uber Delivery org. The team creates efficient tools and processes to help people working on data, designs and maintains a holistic view of delivery data, and manages and optimises delivery data infrastructure resources.

Collaborates with team members to develop and maintain data tools and solutions (e.g., pipelines, models, tables) to acquire, process, and store data. This role also designs and develops large-scale data systems (e.g., databases, data warehouses, big data systems), platforms, and infrastructure for various analytics and business applications.

What the Candidate Will Need / Bonus Points

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

Collaborates with team members to develop and maintain data tools and solutions (e.g., pipelines, models, tables) to acquire, process, and store data. This role also designs and develops large-scale data systems (e.g., databases, data warehouses, big data systems), platforms, and infrastructure for various analytics and business applications.

1. Build Data Products for business use cases - batch & real time
2. Metrics development for the analytical needs
3. Optimizations & improvements focussed on optimal resource utlization, improve SLA and adhere to the data quality standards.
4. Mentor the fellow engineers on design & architecture, perform quality code review and design reviews for the data product development.
5. Contribute to the strategic investments both from inception and execution point of view.
6. Consult and advise the product engineering teams on the data engineering practices.

---- Basic Qualifications ----

1. Bachelor's degree in Computer Science or related technical field or equivalent practical experience
2. Experience coding using general purpose programming language (eg. Java, Python)
3. Understanding of Data tech stack eg: Spark, Hive

---- Preferred Qualifications ----

1. Data warehouse experience
2. Expertise in data tech stack: Spark, Hive
3. Scripting and programming skill

We welcome people from all backgrounds who seek the opportunity to help build a future where everyone and everything can move independently. If you have the curiosity, passion, and collaborative spirit, work with us, and let’s move the world 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 accommodations@uber.com.