Data Engineer 2
Actively Reviewing the ApplicationsUber
India, Karnataka, Bengaluru
Full-Time
On-site
Posted 4 hours ago
•
Apply by June 11, 2026
Job Description
About The Role
The Delivery Data Solutions (DDS) team 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 ----
The Delivery Data Solutions (DDS) team 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 ----
- 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.
- Consult and advise the product engineering teams on the data engineering practices.
- 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, Scala)
- Understanding of Data tech stack eg: Spark, Hive, Kafka
- Data warehouse experience
- Scripting and programming skill
- Masters degree in Computer Science or related technical field or equivalent practical experience
- Delivery Domain Understanding
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