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

      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

      WeWork

      Empleador activo

      Información
      Evaluaciones
      Pago y prestaciones
      Empleos
      Entrevistas
      Entrevistas
      Búsquedas relacionadas: Evaluaciones de WeWork | Empleos en WeWork | Sueldos en WeWork | Prestaciones en WeWork
      Entrevistas en WeWorkEntrevistas para el cargo de Data Engineer en WeWorkEntrevista en WeWork


      Glassdoor

      • Acerca de
      • Premios
      • Blog
      • Contacto

      Empleadores

      • Cuenta de empleador gratuita
      • Centro de empleador

      Información

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

      Trabaja con nosotros

      • Anunciantes
      • Oportunidades laborales
      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 desde adentro.

      Búsquedas de empleo

      Recibe recomendaciones y actualizaciones personalizadas al iniciar tu búsqueda.

      Entrevista para Data Engineer

      26 sep 2024
      Empleado anónimo
      Oferta aceptada
      Experiencia positiva
      Entrevista promedio

      Solicitud

      Acudí a una entrevista en WeWork

      Entrevista

      Over three weeks, I had recruiter and technical screenings, transitioning into onsite interviews. The recruiter diligently provided updates, ensuring transparent communication throughout the process. Their regular status updates kept me informed and engaged, enhancing the overall experience during the interview process. This structured approach aided in maintaining clear expectations and timelines.

      Preguntas de entrevista [1]

      Pregunta 1

      Why are you interesting in working at the company?
      Responder pregunta

      Otras evaluaciones sobre las entrevistas para el cargo de Data Engineer en WeWork

      Entrevista para Data Engineer

      13 ene 2021
      Candidato de entrevista anónimo
      New York, NY
      Sin ofertas
      Experiencia neutra
      Entrevista promedio

      Solicitud

      Acudí a una entrevista en WeWork (New York, NY)

      Entrevista

      Applied on LinkedIn and got contacted the next day. The recruiter emailed me for setting up the call and I replied with the time slots. The interview was for the Data Engineer position. I got rejected after the call. The position was based in New York.

      Preguntas de entrevista [1]

      Pregunta 1

      Behavioral questions and about the role.
      Responder pregunta

      Entrevista para Data Engineer

      8 may 2018
      Candidato de entrevista anónimo
      Sin ofertas
      Experiencia negativa
      Entrevista promedio

      Solicitud

      Me postulé a través de un reclutador. Acudí a una entrevista en WeWork

      Entrevista

      Long, but I'm trying to include good detail for any technical readers. The recruiter got my name from an attendees list for a data engineering conference and contacted me via Linkedin. I had an additional phone screen with recruiter then a 45 min video call with hiring manager. While the conversation with the hiring manager was initially positive, it became apparent they were actually quite condescending. For e.g. "Ah yes, people with an analytics background frequently choose this suboptimal approach" Anyway, once we got to the brief technical chops piece at the end of the interview I was asked to write SQL for a historical backfill of daily rolling MAUs. There was no shared coding pad etc - this was 'do it verbally' which felt strange, but I thought ok lets go for it. I pulled up a google sheet and wrote my solution which involved use of a date dimension table and correlated subquery which pulled counts from the raw usages data table over a 30 day date window for each day in the dim table. The manager informed me that this was not a good answer, and that the better approach would be to use a JOIN with a BETWEEN predicate. I was told my approach would produce a cartesian product and that this was bad for efficiency. I got the feeling that was wrong, so I asked where would a cartesian product be produced (since there was no join in my code). Couldn't get a good answer back. I'm interested in query optimization and EXPLAIN plans and have spent some time on it, so I tried to dig into a few comparisons but couldn't get much beyond variations of 'because it's better..' , 'join are always better than subqueries' or vague mention of the cartesian product. In the end I was so annoyed that once I got off the call I sat and wrote the sql to create and seed a database with about 6 months data (30m rows) and ran both queries against it. My SQL executed in about 30% of the time of the manager's solution. I put the test code in a gist and shared it with the recruiter to pass on to the manager, hoping we could maybe discuss further. Crickets so far, presumably I won't be getting a call back. I think that's for the best. TLDR: Manager couldn't reason about own interview questions in any depth, waffled on technical details. Steer clear of this one.

      Preguntas de entrevista [1]

      Pregunta 1

      Create SQL to efficiently compute rolling 30 day MAUs over a year's worth of data.
      Responder pregunta
      4