Capgemini Data Engineer interview questions and process

Updated 8 Oct 2026 · 14 sources

Hiring Pulse: where Capgemini candidates are right now

Dated status reports from public Reddit threads and anonymous PortLume reports, updated Oct 17. Not official Capgemini data.

3 status reports in the last 7 days
Not enough data yet: median from final interview to a decision shows at 5+ people
Latest movement: 1 rejection, 2 joining dates reported since Oct 11

Latest Capgemini hiring reports

Oct 16: Rejection Oct 16 (r/developersIndia)
Oct 13: Joining date Oct 13 (r/developersIndia)
Oct 11: Joining date Oct 11 (r/cscareerquestionsIN)
Oct 9: Joining date Oct 9 (r/cscareerquestionsIN)
Oct 7: Joining date Oct 7 (r/developersIndia)

Candidates rate the Capgemini Data Engineer interview Medium: Reported rounds are standard technical + managerial + HR with PySpark/SQL depth rather than hard algorithmic puzzles, though senior roles probe architecture and optimization. Reports describe 4 rounds, from Technical Round 1 (coding/SQL/PySpark) to HR Round, with about 2-4 weeks from first call to offer.

Difficulty: Medium
Estimated salary: 7.5L for entry-level Senior Analyst (2023, Hyderabad); Data Engineer bands vary widely by level and location
Skills asked about: PySpark, SQL, Python

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Capgemini Data Engineer interview rounds

Technical Round 1 (coding/SQL/PySpark): Coding and SQL/PySpark fundamentals - joins, window functions, groupBy, DataFrame manipulation. One reported question asked how to save multiple columns from a DataFrame.
Technical Round 2 (deeper data engineering concepts)
Managerial Round
HR Round

Questions reported in Capgemini Data Engineer interviews

How Random Forest Used for a Regression Problem?
How do you save multiple columns in a DataFrame? (reported Round 1 question with sample data)
Explain PySpark joins, window functions, collect_list, and groupBy with examples.
How is Random Forest used for a regression problem?
How do you evaluate a machine learning model?

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Capgemini Data Engineer interview: quick answers

How many rounds are in the Capgemini Data Engineer interview?

Public reports describe 4 rounds for the Capgemini Data Engineer interview: (1) Technical Round 1, (2) Technical Round 2, (3) Managerial Round, (4) HR Round. Round 1: Coding and SQL/PySpark fundamentals - joins, window functions, groupBy, DataFrame manipulation. One reported question asked how to save multiple columns from a DataFrame.

Is the Capgemini interview difficult?

Public reports put the Capgemini Data Engineer interview at Medium difficulty. Reported rounds are standard technical + managerial + HR with PySpark/SQL depth rather than hard algorithmic puzzles, though senior roles probe architecture and optimization. The process has 4 rounds, from Technical Round 1 to HR Round.

Does Capgemini ask DSA in Data Engineer interviews?

Some, but reports say it is not the main focus. Reported rounds are standard technical + managerial + HR with PySpark/SQL depth rather than hard algorithmic puzzles, though senior roles probe architecture and optimization. Rounds that involve coding: Technical Round 1 (coding/SQL/PySpark).

How long does Capgemini take to give results?

Time to a result for the Capgemini Data Engineer process, per public reports: 2-4 weeks. The process has 4 rounds, from Technical Round 1 to HR Round. Based on 14 public reports, last updated Oct 2026.

What is the Capgemini Data Engineer fresher salary?

Estimated from public salary data: 7.5L for entry-level Senior Analyst (2023, Hyderabad); Data Engineer bands vary widely by level and location. This is not an official Capgemini figure, and pay varies by level, city and experience. Based on 14 public reports, last updated Oct 2026.

Sources

Based on 14 public reports: YouTube (8), LeetCode Discuss (4), Glassdoor (2), last updated Oct 2026.

Compiled by Adarsh Sharma from public candidate reports. Unofficial guide: PortLume AI is not affiliated with Capgemini.

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Last round at Capgemini is usually HR: Capgemini HR interview questions and answers.

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