Aller au contenuAller au pied de page
  • Emplois
  • Entreprises
  • Salaires
  • Pour les employeurs

      Boostez votre carrière

      Découvrez votre salaire potentiel, décrochez des emplois de rêve et partagez vos témoignages de manière anonyme.

      employer cover photo

      Vivansh Infotech

      Est-ce votre entreprise ?

      À propos
      Avis
      Salaires et avantages
      Emplois
      Entretiens
      Entretiens
      Recherches associées: Avis sur Vivansh Infotech | Offres d’emploi chez Vivansh Infotech | Salaires chez Vivansh Infotech | Avantages sociaux chez Vivansh Infotech
      Entretiens chez Vivansh Infotech Entretiens d’embauche pour Python Developer chez Vivansh Infotech Entretien chez Vivansh Infotech


      Glassdoor

      • À propos
      • Récompenses
      • Blog
      • Nous contacter
      • Guides

      Employeurs

      • Compte employeur gratuit
      • Centre employeur
      • Blog pour les employeurs

      Informations

      • Aide
      • Règles de la communauté
      • Conditions d'utilisation
      • Confidentialité et choix publicitaires
      • Ne pas vendre ni partager mes informations
      • Outil de consentement aux cookies

      Travailler avec nous

      • Annonceurs
      • Carrières
      Télécharger l'application

      • Parcourir par :
      • Entreprises
      • Emplois
      • Lieux

      Copyright © 2008-2026. Glassdoor LLC. « Glassdoor », son logo, « Worklife Pro » et « Bowls » sont des marques déposées de Glassdoor LLC.

      Entreprises suivies

      Tenez-vous au courant des dernières opportunités et profitez de conseils d’initiés en suivant les entreprises de vos rêves.

      Recherche d’emplois

      Obtenez des recommandations et des mises à jour personnalisées en démarrant vos recherches.

      Entretien pour Python Developer

      26 juill. 2025
      Employé (anonyme)
      Ahmedabad
      Offre acceptée
      Expérience positive
      Entretien moyen

      Candidature

      J'ai passé un entretien chez Vivansh Infotech (Ahmedabad)

      Entretien

      The interview process at Vivansh Infotech for the Python Developer role typically follows a structured format, designed to assess both technical proficiency and cultural fit. It typically begins with an initial resume screening, where candidates are shortlisted based on their experience with Python, Django, Flask, RESTful APIs, and related backend technologies. Once shortlisted, candidates are contacted for a preliminary HR round, where they discuss their background, career goals, salary expectations, and availability. This is followed by one or more technical interviews, which may include coding challenges involving data structures, algorithms, and real-world backend problems. Candidates are often tested on Python fundamentals such as OOP concepts, decorators, file handling, and common libraries like Pandas or NumPy, depending on the role's focus. For Django-specific roles, they may be asked to work with models, views, serializers, or create sample APIs to evaluate their web development skills. In some cases, a managerial or project-based round is conducted to assess how well the candidate can handle real-time scenarios, debug issues, and contribute to team-based development. The final stage involves an HR discussion, during which the offer details, company policies, and formalities for joining are discussed. The entire process is designed to evaluate not just the candidate’s coding skills but also their problem-solving ability, communication, and alignment with the company’s development practices.

      Questions d'entretien [1]

      Question 1

      One key question they asked me was: "Can you explain how Django handles database queries internally and how you would optimize them for large datasets?" This question tested both my understanding of Django ORM and my ability to think about performance in real-world applications. I explained how Django translates ORM queries into SQL, how select_related and prefetch_related can be used to reduce the number of queries, and how indexing, pagination, and efficient filtering can help manage large data volumes. They seemed interested in whether I had experience identifying bottlenecks in actual projects.
      Répondre à cette question