Decent pay and flexibility, but hard to find work
Pros: decent pay, flexible work hours
Cons: very tough to actually get work
View on Glassdoor
Chegg India headquartered in Santa Clara, US has 2 active tech roles on Feedback AI with AI match scores, optional skill assessments, and company insights when Glassdoor enrichment exists. Candidates browse open listings on this profile; signed-in users see ranked fit and skill gaps per role. Employers post jobs and review match-ranked applicants on the same platform.
Office locations
2
Open roles tracked
0
Posted last 7 days
2
Posted last 30 days
Open roles at this company sorted by AI match score — skills, experience, and company fit when you are signed in. Guests browse the same roles on the public job board.
Want match scores and deeper insight? Create a free candidate profile
What employees say
+ decent pay, flexible work hours
− very tough to actually get work
Recent Glassdoor reviews · 4,074 total
Pros: decent pay, flexible work hours
Cons: very tough to actually get work
View on GlassdoorPros: Creativity, knowledge sharing, teaching, feedback, updation
Cons: Delayed response, low assignment, content availability, etc, etc
View on GlassdoorPros: Great Benefits, Friendly Managers, Great Severance Packages
Cons: Unexpected Layoffs HR Team is a bit slow
View on GlassdoorPros: good for students for additional
Cons: Not sustainable in long term
View on GlassdoorPros: Systematic Environment which have almost everything tracked
Cons: There is scope for much career growth
View on GlassdoorCompany review data sourced from Glassdoor.
Glassdoor salary estimates for top hiring roles · 4,141 salary reports on Glassdoor
| Role | Location | Median | Range (LPA) | Reports |
|---|---|---|---|---|
| Engineering Manager | India | 50.0 LPA | 25.0 LPA – 62.0 LPA | 7 |
Salary benchmarks are estimates from Glassdoor and may differ from individual job listings.
India-scoped Glassdoor interview reports · 178 total · avg difficulty 2.7/5 · 182 questions indexed
It was quite easy. First round: HR round Second round: Two team leads of the department Third round: Manager round. All rounds were super easy since this was for beginners. They didn't grill much. Asked basic questions like what are future goals, why this company, etc.
Sample questions
It was easy and good only assesment given for my subject. I give this interview virtually and then my work start after verification of my result and documents. The test related to our expertise and need to complete within time.
The process was smooth and efficient, wrapping up within two weeks. It included an assignment followed by two interview rounds, so it felt quick and straightforward. The panel came across as kind and genuinely curious rather than interrogative.
1️⃣ Application & Shortlisting ✔️ What happens: You apply on LinkedIn / Naukri. Recruiter screens your resume for: SQL skills Data cleaning + reporting Excel, Power BI Past projects Communication ✔️ If shortlisted: Recruiter calls you and says: “Hi Amit, this is ___ from ___. I saw your profile and wanted to schedule an interview for the Data Analyst/SQL Developer role.” 2️⃣ HR Screening Call (10–15 minutes) This call only checks: Can you communicate properly? Are you stable? Are you genuine? Salary & notice period? ✔️ Typical questions: Tell me about yourself. Tell me about your experience at your previous company. What database technologies have you used? Why are you looking for a change? What is your current CTC, expected CTC? Notice period? Are you comfortable with office timing/location/WFH? If you clear, HR books Technical Round 1. 3️⃣ Technical Round 1 (45–60 minutes) This round is mostly SQL + basic data analytics + scenario-based questions. ✔️ They check: SQL Joins GROUP BY, HAVING Window Functions Query Optimization Stored Procedures Indexing Data Cleaning logic Excel → VLOOKUP, Pivot Power BI basics ✔️ Example Questions: Write a query to find second highest salary. Difference between WHERE and HAVING. Use window function to calculate running total. How to optimize a slow query? What is normalization? What are clustered & non-clustered indexes? If this is cleared → You move to Technical Round 2. 4️⃣ Technical Round 2 (Case Study Round) (45–60 minutes) This is more practical. ✔️ They give tasks like: Analyze a dataset Create SQL queries Explain how you’ll build a report Write an end-to-end data cleaning pipeline Debug SQL queries ✔️ They may ask: “You have 3 tables: orders, customers, payments…write a SQL to find top 5 customers by revenue.” “How will you calculate retention rate?” “Explain a complex project you did.” If cleared → Managerial Round. 5️⃣ Managerial / Hiring Manager Round (30–40 minutes) This round checks: How you work with teams Ownership Real project experience How you handle deadlines Communication & attitude Problem-solving approach ✔️ Typical questions: “Explain your role in your previous company.” “How do you deal with pressure?” “Tell me about a challenge you solved.” “If we assign you a difficult dataset, how will you approach it?” “What value can you add to our team?” “Tell me about a time you optimized a query in real project.”
Sample questions
There was no interview process for this role, I applied through naukri.com and few days later i got an e-mail saying my resume was shortlisted then i had to sign up on NATS website, share the documents and the process was completed.
Sample questions
Top hiring roles: Engineering
Last updated 10 October 2026
Want match scores and deeper company insight? Create a free candidate profile.
Browse all jobs · Companies hiring · Career insights · AI job matching · Naukri vs match scores