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Hyderabad · Remote · 2-5 Yrs · Sep 28
Internet & Web Services · 10000+ Employees · San Francisco, US
Uber’s mission is to reimagine the way the world moves for the better. We started in 2010 to solve a simple problem: how do you get access to a ride at the touch of a button? More than 34 billion trips later, we’re building products to get people closer to where they want to be. By changing how people, food, and things move through cities, Uber is a platform that opens up the world to new possibilities. 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.
Hiring: Engineering
What employees say
+ Business Travel, Take care of employeee, Good Salary, Free food
− Compensation & privileges for contractual staff could have been better
More reviews on the company profile.
Interview experience · Strategy and Operations Manager
Had 4 rounds in total - HR conversation, two rounds with S&O managers involving fit + case interview. Final round was to give a presentation to a panel of the team.
Average difficulty · Noida · 551 reports
More interview insightsJob description
Overview
We are seeking a highly skilled and experienced Data Analytics Engineer I , to join our Customer Support Data (CSD) team within Uber’s Community Operations (CommOps) organization.
Responsibilities
- Build and maintain data pipelines and data products that power analytics, reporting, and machine-learning use cases across the Delivery organization.
- Develop batch and real-time data-processing workflows that transform large datasets into reliable and well-structured data assets.
- Contribute to the development of core business metrics and analytical datasets used by product, data science, and engineering teams.
- Work closely with product engineers, data scientists, and analysts to understand data requirements and implement scalable solutions.
- Ensure data quality, reliability, and timeliness across pipelines by following established data-engineering best practices.
- Support performance optimizations and infrastructure improvements to improve pipeline efficiency and maintain SLA commitments.
- Participate in improving data-engineering tools, processes, and documentation within the team.
Qualifications
- Bachelor’s degree in Computer Science or a related technical field, or equivalent practical experience.
- Minimum of 2 years of technical experience in a data-focused role, such as business analytics and intelligence and engineering or data science
- Understanding of data-warehousing concepts and analytical data modeling.
- Strong problem-solving skills and the ability to work collaboratively with cross-functional teams.
- Knowledge of cloud technologies like GCP, AWS, Azure
- Knowledge of reporting tools like Tableau and/or other BI tools.
- Knowledge of building AI models/agents is a plus.
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Job application FAQ
Last updated 4 October 2026
- How do I apply for Data Analytics Engineer I, Tech - Data at Uber?
- Open this job on Feedback AI and sign up free (or sign in). You can apply from the job detail page; match scores and skill gaps appear when your profile is complete. Uber may attach structured assessments to interview rounds after you apply.
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- Yes after you add a resume or skills. Match score ranks this role against your profile — skills met, gaps, level, and location — so you prioritise applications where fit is strongest.
- Is Data Analytics Engineer I, Tech - Data remote or on-site in Hyderabad, Telangana?
- This listing is marked remote with location Hyderabad, Telangana. Confirm details on the job description before applying.
- What skills matter for this Data Analytics Engineer I, Tech - Data role at Uber?
- This is a mid-level Data Analytics Engineer I, Tech - Data role. Key skills include Remote. Feedback AI highlights matched vs missing skills on your profile after signup.