Fidelity Investments

Data Engineer Interview Experience - India

November 11, 2023

Negative ExperienceNo Offer

Process

Coding round 4 questions interview round based on resume and mostly projects. Also tested SQL knowledge and OOPS. 2 months summer internship.

Stipend offered was 35,000. 7 out of 50 were selected.

Questions

Removing biasing in ML models

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Interview Statistics

The following metrics were computed from 10 interview experiences for the Fidelity Investments Data Engineer role in India.

Success Rate

40%

Pass Rate

Fidelity Investments's interview process for their Data Engineer roles in India is fairly selective, failing a large portion of engineers who go through it.

Experience Rating

Positive80%

Neutral0%

Negative20%

Candidates reported having very good feelings for Fidelity Investments's Data Engineer interview process in India.

Fidelity Investments Work Experiences

Big Data at Fidelity

Data Engineer • Current Employee

February 7, 2023

Pros: Fidelity has lots of data, which can be used for data insights gathering and for data science POCs.

Cons: The company being more traditional in terms of adapting to new technology as the assets under management is huge and new technologies cannot be incorporated without ample testing

Big Data at Fidelity

Data Engineer • Current Employee

February 7, 2023

Pros: Fidelity has lots of data, which can be used for data insights gathering and for data science POCs.

Cons: The company being more traditional in terms of adapting to new technology as the assets under management is huge and new technologies cannot be incorporated without ample testing

Good company, good people

Data Engineer • Former Employee

Covington, Kentucky, United States

Pros: Well-defined project, well-defined goals.

Cons: Technical support was run from a remote location, so sometimes solving access issues took extra time.

Good company, good people

Data Engineer • Former Employee

Covington, Kentucky, United States

Pros: Well-defined project, well-defined goals.

Cons: Technical support was run from a remote location, so sometimes solving access issues took extra time.

Slow growth, but good work-life balance

Data Engineer • Former Employee

Pros: They really promote good work-life balance.

Cons: Not much challenging work offered.

Slow growth, but good work-life balance

Data Engineer • Former Employee

Pros: They really promote good work-life balance.

Cons: Not much challenging work offered.

Big Data at Fidelity

Data Engineer • Current Employee

February 7, 2023

Pros: Fidelity has lots of data, which can be used for data insights gathering and for data science POCs.

Cons: The company being more traditional in terms of adapting to new technology as the assets under management is huge and new technologies cannot be incorporated without ample testing

4.0
Big Data at Fidelity
Data Engineer • Current Employee
February 7, 2023
Pros: Fidelity has lots of data, which can be used for data insights gathering and for data science POCs.
Cons: The company being more traditional in terms of adapting to new technology as the assets under management is huge and new technologies cannot be incorporated without ample testing

Good company, good people

Data Engineer • Former Employee

Covington, Kentucky, United States

Pros: Well-defined project, well-defined goals.

Cons: Technical support was run from a remote location, so sometimes solving access issues took extra time.

4.0
Good company, good people
Data Engineer • Former Employee
Covington, Kentucky, United States
April 6, 2024
Pros: Well-defined project, well-defined goals.
Cons: Technical support was run from a remote location, so sometimes solving access issues took extra time.

Slow growth, but good work-life balance

Data Engineer • Former Employee

Pros: They really promote good work-life balance.

Cons: Not much challenging work offered.

4.0
Slow growth, but good work-life balance
Data Engineer • Former Employee
April 2, 2020
Pros: They really promote good work-life balance.
Cons: Not much challenging work offered.

Fidelity Investments Interview Questions

Modify the Matrix

Given a matrix, replace every cell with a value of -1 with the maximum value found in its respective column. The original values in the matrix should be used to determine the column maximums.

Missing Number

You're given an array of numbers from 0 to n, with one number missing. Find the missing number within the array.

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