Data Engineering Consultant Interview Experience - United States
March 1, 2021
Positive ExperienceGot Offer
Process
Recruiter Round: More of background check and role description.
Technical Round: Questions based on AWS, Spark, BI, SQL, Python, ML - end-to-end full-stack AI tech stack.
Role Fit and Managerial Round: Questions focused on the role's responsibility and candidate fit.
Questions
Working of Spark, complex SQL queries, optimization techniques, AWS services.
Questions are first generic and then get into specific functionality and details.
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Interview Statistics
The following metrics were computed from 1 interview experience for the Accenture Data Engineering Consultant role in United States.
Success Rate
100%
Pass Rate
Accenture's interview process for their Data Engineering Consultant roles in the United States is incredibly easy as the vast majority of engineers get an offer after going through it.
Experience Rating
Positive100%
Neutral0%
Negative0%
Candidates reported having very good feelings for Accenture's Data Engineering Consultant interview process in United States.
Accenture Work Experiences
4.0
Accenture: From an Entry-Level Perspective
Data Engineering Consultant • Current Employee
New York, New York, United States
September 22, 2025
Pros: A great opportunity if you are starting out in your career. At least from a Data & AI perspective, I got to work on various projects with different clients in different industries. It helped me hone in my skills and get a better idea of what I want to do for a professional career.
Cons: With an enterprise structure, it is very difficult to express your talents and hard work. You have to make sure you are connecting with your People Lead on a regular basis so that they know what is going on with your project work and +1 opportunities outside of the client. Even then, it is still difficult to know the story that your People Lead is telling in the annual performance achievement meetings with other Accenture managers/leadership.
4.0
Good place to learn.
Data Engineering Consultant • Current Employee
Rio de Janeiro, Rio de Janeiro, Brazil
September 17, 2025
Pros: There are many learning opportunities within the company. It's a great place to start a career, as there is a lot of project and technology rotation.
Cons: Below-average salary.
Depending on the project, management can be bad, so a bit of luck is also needed.
4.0
Good company to work for
Data Engineering Consultant • Current Employee
April 5, 2025
Pros: Helpful management.
Work-life balance is good.
Cons: No cons as such to highlight.
- 4.0Accenture: From an Entry-Level PerspectiveData Engineering Consultant • Current EmployeeNew York, New York, United StatesSeptember 22, 2025Pros: A great opportunity if you are starting out in your career. At least from a Data & AI perspective, I got to work on various projects with different clients in different industries. It helped me hone in my skills and get a better idea of what I want to do for a professional career.Cons: With an enterprise structure, it is very difficult to express your talents and hard work. You have to make sure you are connecting with your People Lead on a regular basis so that they know what is going on with your project work and +1 opportunities outside of the client. Even then, it is still difficult to know the story that your People Lead is telling in the annual performance achievement meetings with other Accenture managers/leadership.
- 4.0Good place to learn.Data Engineering Consultant • Current EmployeeRio de Janeiro, Rio de Janeiro, BrazilSeptember 17, 2025Pros: There are many learning opportunities within the company. It's a great place to start a career, as there is a lot of project and technology rotation.Cons: Below-average salary. Depending on the project, management can be bad, so a bit of luck is also needed.
- 4.0Good company to work forData Engineering Consultant • Current EmployeeApril 5, 2025Pros: Helpful management. Work-life balance is good.Cons: No cons as such to highlight.
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