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Hyderabad · Remote · 8-11 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 Sr.
Responsibilities
- Demonstrate strong knowledge of and ability to operationalize, leading data technologies and best practices.
- Collaborate with internal business units and data teams on business requirements, data access, processing/transformation and reporting needs and leverage existing and new tools to provide solutions.
- Build dimensional data models to support business requirements and reporting needs.
- Design, build and automate the deployment of data pipelines and applications to support reporting and data requirements.
- Research and recommend technologies and processes to support rapid scale and future state growth initiatives from the data front.
- Prioritize business needs, leadership questions, and ad-hoc requests for on-time delivery.
- Collaborate on architecture and technical design discussions to identify and evaluate high impact process initiatives.
- Work with the team to implement data governance, access control and identify and reduce security risks.
- Perform and participate in code reviews, peer inspections and technical design/specifications.
- Develop performance metrics to establish process success and work cross-functionally to consistently and accurately measure success over time
- Delivers measurable business process improvements while re-engineering key processes and capabilities and maps to future-state vision
- Prepare documentations and specifications on detailed design.
- Be able to work in a globally distributed team in an Agile/Scrum approach.
Qualifications
- Bachelor's Degree in computer science or similar technical field of study or equivalent practical experience.
- 8+ years professional software development experience, including experience in the Data Engineering & Architecture space
- Interact with product managers, and business stakeholders to understand data needs and help build data infrastructure that scales across the company
- Very strong SQL skills - know advanced level SQL coding (windows functions, CTEs, dynamic variables, Hierarchical queries, Materialized views etc)
- Good hands on experience with Object Oriented programming languages like Python.
- Proven experience in large-scale distributed storage and database systems (SQL or NoSQL, e.g. HIVE, MySQL, Cassandra) and data warehousing architecture and data modeling.
- Working experience in cloud technologies like GCP, AWS, Azure
- Knowledge of reporting tools like Tableau and/or other BI tools.
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Job application FAQ
Last updated 4 October 2026
- How do I apply for Sr Data Analytics Engineer, Tech - Data at Uber?
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- What skills matter for this Sr Data Analytics Engineer, Tech - Data role at Uber?
- This is a senior Sr Data Analytics Engineer, Tech - Data role. Key skills include Remote. Feedback AI highlights matched vs missing skills on your profile after signup.