Big Data Engineer applicants have rated the interview process at Salesforce with 3.5 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 79.4% positive. This is according to Glassdoor user ratings.
Candidates applying for Big Data Engineer roles take an average of 15 days to get hired, when considering 2 user submitted interviews for this role. To compare, the hiring process at Salesforce overall takes an average of 34 days.
Common stages of the interview process at Salesforce as a Big Data Engineer according to 2 Glassdoor interviews include:
Presentation: 20%
Group panel interview: 20%
Background check: 20%
Phone interview: 20%
One on one interview: 20%
Here are the most commonly searched roles for interview reports -
The process took 4 weeks. I interviewed at Salesforce (New Delhi)
Interview
Hiring process was very professional and on scheduled time . Interview was very much around the profile. Took about 3-4 weeks. All the panels were very cool and polite. Almost all the round were technical.
1st round is with the manager and 2nd round is with the technical lead. Next round will be coding round and then a final round with HR.
Very broad range of questions covering data engineering, data science, distributed computing, architecture... and specialties like record linkage / deduplication + multiple code exercises
Interview questions [1]
Question 1
Very broad range of questions covering data engineering, data science, distributed computing, architecture... and specialties like record linkage / deduplication + multiple code exercises
I applied through a recruiter. I interviewed at Salesforce in Jul 2017
Interview
Interview process was very well organized and very smooth. A talk with Recruiter and then technical talks/questions with 4 other members of engineering team. Everything was very well explained in advance which I liked alot. And it was followed for everything. My interview, selection, joining, onboarding etc.
Interview questions [1]
Question 1
How will you design to scale billions and billions of records. And lot more Questions on Data Engineering aspects and Machine learning techniques. How do you decide which bigdata tools should be used?