Process
Applied through online:
- Resume shortlisting
- HR Call
- Technical Interview - Mostly focused on Python and SQL. Python Medium level questions and SQL Easy to Medium Level Questions.
- Technical Interview with 4 Person
Questions
They asked questions in Data Warehousing Concepts and Python.
The interview is not focused on problem-solving; rather, it's like a 1-on-1 rapid-fire session.
It's completely different from other companies.
Few examples are:
- What is the difference between OLTP and OLAP?
- What are generators in Python?
- What is PEP 8 and what is the use of the
subnfunction?
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Interview Statistics
The following metrics were computed from 1 interview experience for the Deloitte Data Engineer role in Montreal, Quebec.
Success Rate
0%
Pass Rate
Deloitte's interview process for their Data Engineer roles in Montreal, Quebec is extremely selective, failing the vast majority of engineers.
Experience Rating
Positive0%
Neutral100%
Negative0%
Candidates reported having mixed feelings for Deloitte's Data Engineer interview process in Montreal, Quebec.
Deloitte Work Experiences
5.0
Great Learning, Project Dependent
Data Engineer • Former Employee
Montreal, Quebec, Canada
March 22, 2024
Pros: Good opportunities to learn and meet people.
Cons: Will waste time if not get in a project.
4.0
Really good company
Data Engineer • Current Employee
Montreal, Quebec, Canada
July 20, 2023
Pros: There are projects that you could learn a lot from.
Cons: They transferred people to different departments during the economic downturn, and you kind of couldn't say no.
3.0
Management is a problem when the team gets too big
Data Engineer • Former Employee
Montreal, Quebec, Canada
December 7, 2021
Pros: Good training, clear growth path
Cons: Not too much flexibility to do something exciting.
- 5.0Great Learning, Project DependentData Engineer • Former EmployeeMontreal, Quebec, CanadaMarch 22, 2024Pros: Good opportunities to learn and meet people.Cons: Will waste time if not get in a project.
- 4.0Really good companyData Engineer • Current EmployeeMontreal, Quebec, CanadaJuly 20, 2023Pros: There are projects that you could learn a lot from.Cons: They transferred people to different departments during the economic downturn, and you kind of couldn't say no.
- 3.0Management is a problem when the team gets too bigData Engineer • Former EmployeeMontreal, Quebec, CanadaDecember 7, 2021Pros: Good training, clear growth pathCons: Not too much flexibility to do something exciting.
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