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      Chegg

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      Buscas relacionadas: Avaliações da empresa Chegg | Vagas da empresa Chegg | Salários da empresa Chegg | Benefícios da empresa Chegg
      Entrevistas da empresa CheggEntrevistas do cargo de Data Engineer da empresa CheggEntrevista da empresa Chegg


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      Entrevista para Data Engineer

      27 de nov. de 2025
      Funcionário(a) sigiloso(a)
      Noida
      Oferta aceita
      Experiência positiva
      Entrevista com nível médio de dificuldade

      Candidatura

      Fiz uma entrevista na empresa Chegg (Noida).

      Entrevista

      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.”

      Perguntas de entrevista [1]

      Pergunta 1

      About my previous company role
      Responder à pergunta

      Outras avaliações de entrevista de vagas de Data Engineer da empresa Chegg

      Entrevista para Data Engineer

      20 de out. de 2021
      Candidato(a) sigiloso(a) à entrevista
      Nova Deli
      Nenhuma oferta
      Experiência negativa
      Entrevista fácil

      Candidatura

      Candidatei-me por meio de recrutador(a). O processo levou 2 semanas. Fui entrevistado pela Chegg (Nova Deli) em set. de 2021

      Entrevista

      My profile - 4 years of experience in various AWS tools, Python, Spark, SQL and data engineering works. Applied through Glassdoor and LinkedIn simultaneously. Subsequently, got a call from the recruiter and then first round of interview was scheduled. Got through it. Second round(with Senior Data Engineer/ Team Lead) - Got through it. Third round - with Manager. Then got a call from the recruiter that the position they were hiring for - someone else got hired The recruiter at the same time gave me a choice whether I want to go for Data Platform Engineer - II job as they found my profile and skills to be relevant to that too. Went for it and another managerial round happened in which within 15 minutes I was told that they wanted an expert guy. The role was -> Dev Ops + Ops in Data Engineering But if you look at the JD of Data Engineer-II and Data Platform Engineer-II it's almost the same. Finally, got the generic reply - proceeding with another candidate or so...End! And after that the recruiter also didn't pick the call. 4 rounds mean approx 4 hours of my precious time got completely wasted. Pathetic experience! Advice to Chegg: Get your hiring team and managers in sync. Also, try respecting time of candidates too. It's not a playground.

      Perguntas de entrevista [1]

      Pergunta 1

      Spark, AWS, Lambda, SQL
      Responder à pergunta

      Entrevista para Data Engineer

      18 de mar. de 2013
      Candidato(a) sigiloso(a) à entrevista
      Santa Clara, CA
      Nenhuma oferta
      Experiência positiva
      Entrevista com nível médio de dificuldade

      Candidatura

      Candidatei-me por indicação de um funcionário. Fui entrevistado pela Chegg (Santa Clara, CA) em fev. de 2013

      Entrevista

      I was referred by an employee, I already know about the hiring manager thru a connection. I was directly asked to come for in-person interview after discussion with recruiter. I met 3 folks including the hiring manager. First 2 was cool more like a discussion. Third was the team lead, it went well initially but I was asked to write code for a simple problem. But I wasn't prepared and I was stumped. I can sense that it didn't went well. I also did some mistakes like not explaining my thought process etc.,

      Perguntas de entrevista [1]

      Pergunta 1

      Here are the questions. 1. How will you run shell script on remote server 2. Different SQL ways of getting time spent info from call lag data (lead-lag query) 3. Data modeling for high volume click stream data 4. Write a program to find the value for the given key from a file containing key-value pairs
      Responder à pergunta
      2

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