Data Engineer applicants have rated the interview process at AT&T with 2.7 out of 5 (where 5 is the highest level of difficulty) and assessed their interview experience as 67% positive. To compare, the company-average is 65.7% positive. This is according to Glassdoor user ratings.
Common stages of the interview process at AT&T as a Data Engineer according to 3 Glassdoor interviews include:
Phone interview: 25%
Presentation: 25%
Personality test: 25%
One on one interview: 25%
Here are the most commonly searched roles for interview reports -
First to have a phone call set up with recruiter regarding some basic skill information, then having a video interview with two employees, taking about 1 hour with various technical questions.
I applied online. I interviewed at AT&T (Houston, TX) in Feb 2021
Interview
Asked questions on pyspark and azure services. focused more on azure questions as it is azure migration project from onprem questions on spark hive sql python function queries on plsql
Interview questions [1]
Question 1
explain azure databricks and adf and data lake?
how to execute data pipeline in databricks.
One 30-min phone call from HR about basic info inc. GPA and skillsets (e.g. Hadoop), then another 45-min phone call from an engineer about technical questions. No sharing screen coding. The offer was very slow, it took entire 3 weeks after the last call.
Interview questions [1]
Question 1
When the key is skewed in Hadoop, what processing stage will you add?