Good pay, accommodating to WFH, flexible vacations.
Contract-based billable hours, little management engagement, constant PIPs and layoffs.
Be more engaged with the employees and give U.S. employees more support.
The interview was normal, like any other interview I've passed. The interviewer asked many questions on data ingestion, cleaning, data pipelines, and cloud (GCP, Azure, etc.). We talked about big data and the most used technologies, such as Spark,
The interview process went well and was smooth, with instant updates. Overall, the experience was good. There were three rounds in total: two technical and one HR round.
The interview was easy. There was one round of interviews. The questions were mainly on Spark and Kafka. * How to scale applications using Kafka * Kafka group ID mechanism * Spark * Spark SQL code
The interview was normal, like any other interview I've passed. The interviewer asked many questions on data ingestion, cleaning, data pipelines, and cloud (GCP, Azure, etc.). We talked about big data and the most used technologies, such as Spark,
The interview process went well and was smooth, with instant updates. Overall, the experience was good. There were three rounds in total: two technical and one HR round.
The interview was easy. There was one round of interviews. The questions were mainly on Spark and Kafka. * How to scale applications using Kafka * Kafka group ID mechanism * Spark * Spark SQL code