Interview Experiences

The Google interview experience consisted of five rounds, focusing on a variety of technical and behavioral assessments. Candidates can expect to tackle CPU scheduling challenges and matrix manipulation problems in the first two rounds, followed by BFS and graph-related questions. The later rounds delve into behavioral assessments, including handling team dynamics and time management. Overall, the experience is technically rigorous and demanding, making candidates demonstrate strong problem-solving skills throughout the process.

The Uber interview experience for a Business Analyst position was comprehensive, consisting of several rounds focused on SQL questions, scenario-based inquiries, and guesstimates. Candidates can expect to tackle SQL queries addressing transaction data and user information, followed by analytical scenarios to assess their problem-solving capabilities. Overall, the interview process at Uber is rigorous and evaluates both technical knowledge and analytical thinking skills.

The Swiggy Frontend Engineer interview process was extensive and technically challenging, spanning five rounds. The initial round was an online assessment focusing on practical frontend skills with tasks in React and CSS. Subsequent rounds included technical interviews addressing core JavaScript concepts, system design for a real-time application, and a machine coding round with various tasks. The overall impression is that the interview process at Swiggy thoroughly evaluates both technical capabilities and cultural fit.

The PayPal interview experience for the SDE-2 (Frontend Engineer) position consisted of two rounds that assessed both domain-specific knowledge and data structure algorithms. Candidates can expect questions related to the difference between DOM and BOM, ES6 features, web accessibility, and coding tasks such as implementing a typeahead feature and sorting algorithms. Overall, the interview process was moderately challenging, requiring a solid understanding of frontend technologies and algorithms.

The Uber interview process for the SDE-2 role was comprehensive and technically demanding. Candidates went through multiple rounds, starting with online assessments focused on data structures and algorithms, followed by machine coding and system design challenges. The complexity of the interview increased, covering various topics such as advanced DSA and system scalability concepts. Overall, the experience at Uber appears to rigorously evaluate both algorithmic skills and design principles critical for a software engineering role.