Potential engineering co-workers - didn't come prepared for the interview, had a boastful attitude, lacked empathy, and respect for someone's time. Noticed several red flags about the attitude of the engineers. Staying away from the next rounds. Another friend was interviewed here and they were rejected after 10 interview rounds for the reason that their code did not have enough comments. In totality - my experience matches this absurdness. The hiring manager and leadership team seemed good.
Preguntas de entrevista [1]
Pregunta 1
Basic questions, the tech-interviewer didn't seem sure about the expected outcome.
First two round with Hiring manager and Lead Engineer. Asked some python, SQL questions and about the project.
The next three rounds are a loop interview on data structure, SQL Data Modelling, Design
Preguntas de entrevista [1]
Pregunta 1
1. Design a data model for streaming
2. Design End to end pipeline for data governance
Envié una solicitud electrónica. El proceso duró 3 meses. Acudí a una entrevista en Roku (Bengaluru) en abr 2025
Entrevista
It was a good experience. Though the interview took longer time that expected, the overall process was smooth and they have set clear expectations at team/org level and discussed on career, growth and job expectations.
Preguntas de entrevista [1]
Pregunta 1
Coding - Python & SQL
Data Modelling , Architecture and Optimisations
Envié una solicitud electrónica. Acudí a una entrevista en Roku (Bengaluru) en ene 2024
Entrevista
Applied through LinkedIn and Recruited reachout to me after few days.
1st Round - Screening by HR- basic questions about the role
2nd Round - Technical Screening by one of the Lead engineer, Asked questions about project, basic Spark questions and cloud technologies
3rd Round - Coding round - 2 SQL and Python questions. SQL questions were particular using JOINs and Window functions and Python question was a DSA question. We have to consider time and space complexity and solve the questions.
4th Round - Three 1 hour interviews based on Data structures, programming, Spark internals, Big data technologies and our previous projects,
