Ir al contenidoIr al pie de página
  • Empleos
  • Empresas
  • Sueldos
  • Para empresas

      Impulsa tu carrera profesional

      Averigua cuánto podrías ganar, encuentra el empleo perfecto y comparte información sobre tu vida laboral y personal de forma anónima.

      employer cover photo
      employer logo
      employer logo

      Perfect World

      ¿Esta es tu empresa?

      Información
      Opiniones
      Sueldos y beneficios
      Empleos
      Entrevistas
      Entrevistas
      Búsquedas relacionadas: Opiniones sobre Perfect World | Ofertas de empleos en Perfect World | Sueldos en Perfect World | Beneficios en Perfect World
      Entrevistas de Perfect WorldEntrevistas para el puesto de Senior Data Engineer en Perfect WorldEntrevista de Perfect World


      Glassdoor

      • Acerca de
      • Premios
      • Blog
      • Contacto

      Empresas

      • Cuenta gratuita de empresa
      • Centro de empresas

      Información

      • Ayuda
      • Normas
      • Condiciones de uso
      • Privacidad y opciones de anuncios
      • No vender ni compartir mi información
      • Herramienta de consentimiento de cookies

      Trabaja con nosotros

      • Anunciantes
      • Empleo
      Descargar aplicación

      • Buscar por:
      • Empresas
      • Empleos
      • Ubicaciones

      Copyright © 2008-2026. Glassdoor LLC. «Glassdoor», «Worklife Pro», «Bowls» y sus logotipos son marcas comerciales registradas de Glassdoor LLC.

      Empresas seguidas

      Sigue a tus empresas favoritas para estar al tanto de las últimas oportunidades y disponer de información de primera mano.

      Búsquedas de empleo

      Recibe recomendaciones y actualizaciones personalizadas al iniciar tu búsqueda.

      Entrevista de Senior Data Engineer

      18 may 2025
      Candidato de entrevista anónimo
      Shanghái, Shanghai
      Sin oferta
      Experiencia positiva
      Entrevista normal

      Solicitud

      Solicité el puesto en persona. El proceso duró 2 semanas. Acudí a una entrevista en Perfect World (Shanghái, Shanghai) en may 2025

      Entrevista

      good, 1 HR and 2 interviewers. They will ask you to brief introduce yourself and quick warm-up. It ended up with a reverse asking question from yourself. They asked: Round 1 1. How much time have you spent on data engineering versus backend development? 2. What motivated your transition from a domestic tech company to a global fintech firm? How does this relate to your career plan? 3. Why did you leave your previous company? What was the scale of the recent layoff? 4. What are your key areas of interest and strengths, as you mentioned? 5. What was the size and structure of your team? Was it organized by business line? 6. Can you walk me through your experience with data warehouse modeling? How did it align with business processes? ⸻ Round 2 1. Regarding your past projects, how were the key performance metrics determined? 2. Can you explain the Spark-based jobs you worked on? Were they similar to the ones used in large-scale internet companies? 3. What’s your view on the pros and cons of cloud-native platforms like Google Cloud versus traditional data platforms like MaxCompute? 5. How do you ensure that your data warehouse models truly reflect the needs of the business? ⸻ Soft Skills 1. How do you typically approach a new requirement or development task? 2. How do you handle situations where business stakeholders challenge your technical decisions?

      Preguntas de entrevista [1]

      Pregunta 1

      Round 1 1. How much time have you spent on data engineering versus backend development? 2. What motivated your transition from a domestic tech company to a global fintech firm? How does this relate to your career plan? 3. Why did you leave your previous company? What was the scale of the recent layoff? 4. What are your key areas of interest and strengths, as you mentioned? 5. What was the size and structure of your team? Was it organized by business line? 6. Can you walk me through your experience with data warehouse modeling? How did it align with business processes? ⸻ Round 2 1. Regarding your past projects, how were the key performance metrics determined? 2. Can you explain the Spark-based jobs you worked on? Were they similar to the ones used in large-scale internet companies? 3. What’s your view on the pros and cons of cloud-native platforms like Google Cloud versus traditional data platforms like MaxCompute? 5. How do you ensure that your data warehouse models truly reflect the needs of the business? ⸻ Soft Skills 1. How do you typically approach a new requirement or development task? 2. How do you handle situations where business stakeholders challenge your technical decisions?
      Responder pregunta