Job Description

About the Role

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.

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.





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


Bachelor's degree in Computer Science or related technical field or equivalent practical experience Experience coding using general purpose programming language (eg. Java, Python, Go, Javascript, Fusion) Expert in data tech stack eg: Spark, Hive
- Preferred Qualifications -


Data warehouse experience Expertise in data tech stack: Spark, Hive * Scripting and programming skill