Data Engineer applicants have rated the interview process at Cognizant with 2 out of 5 (where 5 is the highest level of difficulty) and assessed their interview experience as 100% positive. To compare, the company-average is 72.3% positive. This is according to Glassdoor user ratings.
Common stages of the interview process at Cognizant as a Data Engineer according to 1 Glassdoor interviews include:
Other: 33%
One on one interview: 33%
Presentation: 33%
Here are the most commonly searched roles for interview reports -
Interview process was smooth but no proper response after interview, they mentioned offer letter will be released and there was no response to mail also interview was face to face interview
Cognizant’s interview process generally begins with an online assessment covering aptitude, reasoning, and coding skills. Shortlisted candidates face technical interviews assessing problem-solving, domain knowledge, and project experience. The final stage is an HR interview focusing on communication, adaptability, teamwork, cultural fit, and overall suitability for the organization’s requirements.
Exam Structure & Context (Optional Enhancement)
The unscored questions are used by AWS to test new question content and are indistinguishable during the exam.
AWS Static
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Interview questions [1]
Question 1
Pyspark, Data optimization, Databricks, Cloud, SPark Optimization