Best place for women: work-life balance. Good learning opportunity.
No downside. Salary hike is less.
I attended face-to-face interviews and received confirmation of my selection a few days later. The interview process was smooth and well-organized. Interview questions were relevant to data engineering, focusing on SQL, Python, and the basics of Py
It was good. They asked real-time scenarios and project-based questions, as well as coding-related questions, mostly on SQL and Spark DataFrames. They gave a scenario and asked me to write the code using Scala Spark.
After a phone interview with HR, including a part in English, I was invited to a recruitment session. Company presentation, followed by an HR and operational interview. Classic questions: why Capgemini? Professional project and motivation.
I attended face-to-face interviews and received confirmation of my selection a few days later. The interview process was smooth and well-organized. Interview questions were relevant to data engineering, focusing on SQL, Python, and the basics of Py
It was good. They asked real-time scenarios and project-based questions, as well as coding-related questions, mostly on SQL and Spark DataFrames. They gave a scenario and asked me to write the code using Scala Spark.
After a phone interview with HR, including a part in English, I was invited to a recruitment session. Company presentation, followed by an HR and operational interview. Classic questions: why Capgemini? Professional project and motivation.