Cognizant Data Engineer interview questions and process

Updated · 14 sources

Hiring Pulse: where Cognizant candidates are right now

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

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

Latest Cognizant hiring reports

Candidates rate the Cognizant Data Engineer interview Medium: Reported process is 'pretty easy' with Python, SQL queries, cloud theory and project discussion, though Databricks-heavy Azure Data Engineer drives probe deeper into architecture and optimization. Reports describe 3 rounds, from Technical screening (Python, SQL, cloud theory) to HR/managerial round.

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Cognizant Data Engineer interview rounds

  1. Technical screening (Python, SQL, cloud theory): Reported as straightforward: Python, SQL queries and cloud computing theory questions, then a walkthrough of your projects.
  2. Technical deep-dive (Databricks/Delta Lake, ETL, data modeling, projects)
  3. HR/managerial round

Questions reported in Cognizant Data Engineer interviews

  1. They asked Python, SQL queries and cloud computing technical theory questions, then moved on to ask about projects.
  2. Expect questions about Databricks architecture, cluster configuration, optimization techniques, Delta Lake implementation, and how you've used them.
  3. Tell me about your skills - data processing, ETL, data modeling, and programming languages like Python and SQL.
  4. How would you optimize a slow Spark job reading from Delta Lake?
  5. Explain your ETL pipeline end to end - sources, transformations, orchestration, failure handling.

Practise any of these with timed AI feedback and a full Cognizant mock: free account.

Cognizant Data Engineer interview: quick answers

How many rounds are in the Cognizant Data Engineer interview?

Public reports describe 3 rounds for the Cognizant Data Engineer interview: (1) Technical screening, (2) Technical deep-dive, (3) HR/managerial round. Round 1: Reported as straightforward: Python, SQL queries and cloud computing theory questions, then a walkthrough of your projects. Based on 14 public reports, last updated Oct 2026.

Is the Cognizant interview difficult?

Public reports put the Cognizant Data Engineer interview at Medium difficulty. Reported process is 'pretty easy' with Python, SQL queries, cloud theory and project discussion, though Databricks-heavy Azure Data Engineer drives probe deeper into architecture and optimization. The process has 3 rounds, from Technical screening to HR/managerial round.

What is the Cognizant Data Engineer fresher salary?

From public salary data and candidate posts: 7.0-7.7 LPA average for Data Engineer in India; fresher/trainee ~2.5-5 LPA, 1-3 yrs ~4-8 LPA, 3-6 yrs ~6.5-12 LPA, 6+ yrs ~10-14 LPA. This is not an official Cognizant figure, and pay varies by level, city and experience.

Sources

Based on 14 public reports: YouTube (8), AmbitionBox (2), Reddit (2), Glassdoor (1), LeetCode Discuss (1), last updated Oct 2026.

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

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

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