Apply for Uber Off Campus Drive 2025! Hiring Software Engineer Data Job in Hyderabad. Build scalable data products with Spark, Hive, and cloud technologies. Ideal for BE/BTech graduates with 0–2 years’ experience passionate about data analytics and engineering.
Candidates who are interested in Uber Off Campus Drive Job Openings can go through the below to get more information.
Key Job details of Software Engineer Data job
Company: Uber
Qualifications: BE/BTech
Experience Needed: 0–2 Years
Location: Hyderabad
Job Description
- 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.
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)
- Understanding of Data tech stack eg: Spark, Hive
Preferred Qualifications
- Data warehouse experience
- Expertise in data tech stack: Spark, Hive
- Scripting and programming skill
Apply Now for Uber Software Engineer Data Job
Start Date: 17th November 2025
Click here to Join on WhatsApp:- https://wa.link/28qo7j
Click here to Join on Telegram:- https://telegram.me/qaidea
How to Apply Uber Off Campus Drive 2025
Click on Apply to Official Link Uber Above – You will go to the Company Official site
First of all Check, Experience Needed, Description and Skills Required Carefully.
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Interview Questions
- Explain your experience working with big data technologies like Spark and Hive for building data pipelines.
- Describe how you optimize data workflows for efficiency and cost savings.
- How do you manage batch and streaming data in real-time analytics environments?
- What steps do you take to ensure data quality and adherence to SLAs?
- Can you talk about collaborating with product engineering teams to translate data needs into actionable solutions?
- Describe your problem-solving techniques for debugging data processing jobs.
- How do you stay updated on emerging data engineering tools and best practices?
