The interview process for a Data Engineer position at Comcast typically involves several stages. Initially, candidates submit their applications, highlighting relevant skills in SQL, Python, and Spark. If shortlisted, a recruiter conducts a screening call to discuss experiences and skills. This is followed by a technical virtual interview, where candidates face questions on Comcast’s data systems, ETL pipelines, and SQL queries. Hands-on coding challenges may involve implementing ETL processes and demonstrating knowledge of tools like AWS and Hive.

Can you describe a time when you had to optimize an ETL pipeline? What challenges did you face and how did you overcome them?