Is HireStepX free to use?

Yes. Start with 2 full AI mock interviews, complete with real-time feedback, scores, and detailed performance reports. No credit card required.

How does the AI mock interview work?

Upload your resume, pick your target company and role, and choose from 10 interview types. The AI interviewer asks role-specific questions via voice, listens to your answers, asks follow-up questions, and delivers scored feedback after each session.

What types of interviews can I practice?

10 types: Behavioral, Technical, Strategic, Case Study, Campus Placement, HR Round, Panel, Management, Salary Negotiation, and Government/PSU. Each with 3 difficulty levels and mini or full session options.

Can I practice for specific companies like TCS, Infosys, or Google?

Yes. We support 200+ target companies including Google, Amazon, TCS, Infosys, Flipkart, Razorpay, McKinsey, Deloitte, and more, each with distinct interview patterns.

How is this different from ChatGPT or practicing with friends?

ChatGPT is text-only with no voice, no scoring, no resume integration, and no progress tracking. HireStepX is a purpose-built interview simulator: voice-based, resume-personalized, with detailed analytics.

Is my interview data private and secure?

Yes. Data is encrypted via Supabase with row-level security. Recordings and transcripts are never shared with employers or third parties. Delete everything anytime from Settings.

Does HireStepX work on mobile?

Yes, on any modern browser. For the best experience during mock interviews, use a laptop or desktop with a microphone.

How much does it cost compared to a career coach?

A single coaching session typically costs ₹3,000-10,000. HireStepX is ₹9 per session or ₹39/month for 5 sessions (Sprint Pack) with full AI coaching and analytics, available 24/7.

What is the recruitment process at Uber?

The typical Uber recruitment process has 4 stages: Recruiter screen and technical pre-screen → SQL and data-manipulation round → Streaming pipeline and platform design round → Hiring-manager and behavioural round, then offer.

What are the interview rounds at Uber?

Uber typically conducts 4 interview rounds: Round 1 (45-60 min): SQL round on percentiles and large-scale analytical queries.; Round 2 (60 min): streaming pipeline design round with windowing and out-of-order handling.; Round 3 (45-60 min): metrics-platform and semantic-layer design round.; Round 4 (45 min): behavioural and hiring-manager round..

What framework should I use for Uber technical interviews?

HireStepX recommends the Stream-and-Standardise framework for this type of interview: Design low-latency streaming with watermarks and geospatial bucketing, compute percentiles at scale with approximate algorithms, and standardise metrics via a semantic layer

Reverse a linked list in O(1) extra space. Then explain when you'd use this in production.

To answer this question well, HireStepX recommends the Stream-and-Standardise approach: Design low-latency streaming with watermarks and geospatial bucketing, compute percentiles at scale with approximate algorithms, and standardise metrics via a semantic layer Ground your answer in a specific real example from your own experience.

What is the difference between a class and an object? Give an example.

To answer this question well, HireStepX recommends the Stream-and-Standardise approach: Design low-latency streaming with watermarks and geospatial bucketing, compute percentiles at scale with approximate algorithms, and standardise metrics via a semantic layer Ground your answer in a specific real example from your own experience.

Write a SQL query to find the second-highest salary in a department.

To answer this question well, HireStepX recommends the Stream-and-Standardise approach: Design low-latency streaming with watermarks and geospatial bucketing, compute percentiles at scale with approximate algorithms, and standardise metrics via a semantic layer Ground your answer in a specific real example from your own experience.

What is normalisation in databases? When would you de-normalise?

To answer this question well, HireStepX recommends the Stream-and-Standardise approach: Design low-latency streaming with watermarks and geospatial bucketing, compute percentiles at scale with approximate algorithms, and standardise metrics via a semantic layer Ground your answer in a specific real example from your own experience.

What's the difference between a stack and a queue? Give a real-world use case for each.

To answer this question well, HireStepX recommends the Stream-and-Standardise approach: Design low-latency streaming with watermarks and geospatial bucketing, compute percentiles at scale with approximate algorithms, and standardise metrics via a semantic layer Ground your answer in a specific real example from your own experience.

Given a stream of integers, design a data structure that returns the median in O(log n).

To answer this question well, HireStepX recommends the Stream-and-Standardise approach: Design low-latency streaming with watermarks and geospatial bucketing, compute percentiles at scale with approximate algorithms, and standardise metrics via a semantic layer Ground your answer in a specific real example from your own experience.

You have a service that's slow only on Tuesdays. Walk me through how you'd debug.

To answer this question well, HireStepX recommends the Stream-and-Standardise approach: Design low-latency streaming with watermarks and geospatial bucketing, compute percentiles at scale with approximate algorithms, and standardise metrics via a semantic layer Ground your answer in a specific real example from your own experience.

Here's 200 lines of payment-processing code with several intentional bugs. Find them and explain the production impact of each.

To answer this question well, HireStepX recommends the Stream-and-Standardise approach: Design low-latency streaming with watermarks and geospatial bucketing, compute percentiles at scale with approximate algorithms, and standardise metrics via a semantic layer Ground your answer in a specific real example from your own experience.

What streaming questions does Uber ask data engineers?

Designing pipelines that compute real-time supply/demand metrics per geohash from trip events, with windowing, watermarks, and explicit handling of out-of-order events.

What SQL does Uber ask data engineers?

Percentile computation such as median trip duration per city-hour, plus reasoning about approximate algorithms like t-digest to scale to billions of rows.

Does Uber test metrics-platform design?

Yes. Uber pioneered internal metrics platforms, so rounds probe self-serve semantic layers, standardised metric definitions, and governance over ad-hoc definitions.

← All companies·Uber·Technical

Uber Data Engineer Interview Questions India 2026

Uber's data-engineering rounds are streaming-heavy and metrics-obsessed, reflecting a business built on real-time supply and demand.

Practice with AI voice feedback 12 questions · Technical · 2 sessions free

In 2026 expect a streaming round on computing surge-relevant supply/demand metrics per geohash from trip events with bounded latency and out-of-order handling, a SQL round on percentile metrics (median trip duration per city-hour) and scaling to billions of rows with approximate algorithms, and a platform round on designing a self-serve semantic/metrics layer for consistent metric definitions. Interviewers reward precise reasoning about windowing, watermarks, geospatial bucketing, and metric governance rather than generic ETL. Uber pioneered internal metrics platforms, so governance thinking stands out.

About Uber

Uber India (Bengaluru) builds core platform engineering: the real-time matching engine, driver and rider experience, payments, and maps. Engineering culture is heavily influenced by ex-FAANG hires and prioritizes correctness, latency, and reliability.

Products: Uber rideshare (India) · Uber Eats / Eats (select markets) · Uber for Business · Uber Freight
Competitors: Ola · Rapido · BluSmart · Namma Yatri
Scale: Operates in 100+ Indian cities. Millions of trips daily.

Uber recruitment process

01
Recruiter screen and technical pre-screen
02
SQL and data-manipulation round
03
Streaming pipeline and platform design round
04
Hiring-manager and behavioural round, then offer

What to expect in each round

01
Round 1 (45-60 min)
SQL round on percentiles and large-scale analytical queries.
02
Round 2 (60 min)
streaming pipeline design round with windowing and out-of-order handling.
03
Round 3 (45-60 min)
metrics-platform and semantic-layer design round.
04
Round 4 (45 min)
behavioural and hiring-manager round.

Technical questions Uber asked

Sourced from 2+ candidate post-mortems. Hit Practice to answer any one with AI voice feedback.

01
Medium
Reverse a linked list in O(1) extra space. Then explain when you'd use this in production.
Practice free →
02
Easy
What is the difference between a class and an object? Give an example.
Practice free →
03
Easy
Write a SQL query to find the second-highest salary in a department.
Practice free →
04
Easy
What is normalisation in databases? When would you de-normalise?
Practice free →
05
Easy
What's the difference between a stack and a queue? Give a real-world use case for each.
Practice free →
06
Hard
Given a stream of integers, design a data structure that returns the median in O(log n).
Practice free →
07
Medium
You have a service that's slow only on Tuesdays. Walk me through how you'd debug.
Practice free →
08
Hard
Here's 200 lines of payment-processing code with several intentional bugs. Find them and explain the production impact of each.
Practice free →
09
Medium
Explain webhooks vs. polling for a developer who has never built a payment integration. You have 4 sentences.
Practice free →
10
Hard
Walk me through Razorpay's fraud-detection model. How would you reduce false positives without increasing chargeback losses?
Practice free →
11
Medium
We see UPI failure rates spike at 9pm on weekends. How would you debug and what's your hypothesis?
Practice free →
12
Easy
What's 54% of 110? You have 10 seconds.
Practice free →

2 more questions. Sign up to unlock all

Reading won't get you hired

Stop reading, start answering.

The AI asks Uber-style questions, listens to your voice, and scores your answer in two minutes. 2 sessions free, no card.

Start free practice

← All companies·Uber·Technical

Uber Data Engineer Interview Questions India 2026

Uber's data-engineering rounds are streaming-heavy and metrics-obsessed, reflecting a business built on real-time supply and demand.

Practice with AI voice feedback 12 questions · Technical · 2 sessions free

About Uber

Products: Uber rideshare (India) · Uber Eats / Eats (select markets) · Uber for Business · Uber Freight
Competitors: Ola · Rapido · BluSmart · Namma Yatri
Scale: Operates in 100+ Indian cities. Millions of trips daily.

Uber recruitment process

01
Recruiter screen and technical pre-screen
02
SQL and data-manipulation round
03
Streaming pipeline and platform design round
04
Hiring-manager and behavioural round, then offer

What to expect in each round

01
Round 1 (45-60 min)
SQL round on percentiles and large-scale analytical queries.
02
Round 2 (60 min)
streaming pipeline design round with windowing and out-of-order handling.
03
Round 3 (45-60 min)
metrics-platform and semantic-layer design round.
04
Round 4 (45 min)
behavioural and hiring-manager round.

Technical questions Uber asked

Sourced from 2+ candidate post-mortems. Hit Practice to answer any one with AI voice feedback.

01
Medium
Reverse a linked list in O(1) extra space. Then explain when you'd use this in production.
Practice free →
02
Easy
What is the difference between a class and an object? Give an example.
Practice free →
03
Easy
Write a SQL query to find the second-highest salary in a department.
Practice free →
04
Easy
What is normalisation in databases? When would you de-normalise?
Practice free →
05
Easy
What's the difference between a stack and a queue? Give a real-world use case for each.
Practice free →
06
Hard
Given a stream of integers, design a data structure that returns the median in O(log n).
Practice free →
07
Medium
You have a service that's slow only on Tuesdays. Walk me through how you'd debug.
Practice free →
08
Hard
Here's 200 lines of payment-processing code with several intentional bugs. Find them and explain the production impact of each.
Practice free →
09
Medium
Explain webhooks vs. polling for a developer who has never built a payment integration. You have 4 sentences.
Practice free →
10
Hard
Walk me through Razorpay's fraud-detection model. How would you reduce false positives without increasing chargeback losses?
Practice free →
11
Medium
We see UPI failure rates spike at 9pm on weekends. How would you debug and what's your hypothesis?
Practice free →
12
Easy
What's 54% of 110? You have 10 seconds.
Practice free →

2 more questions. Sign up to unlock all

Reading won't get you hired

Stop reading, start answering.

The AI asks Uber-style questions, listens to your voice, and scores your answer in two minutes. 2 sessions free, no card.

Start free practice