Question 1

What are your salary expectations for this role?

Accepted Answer

**Situation**: I was negotiating with a FAANG-tier company after multiple rounds. **Task**: Communicate compensation expectations without anchoring low or pricing myself out. **Action**: I researched Levels.fyi, Blind, and Glassdoor for the role, level, and geo. I framed my response: "Based on market data for Staff/Principal Data Engineering in [location], total comp typically ranges $X–$Y....

Question 2

Where do you see yourself in your career five years from now?

Accepted Answer

**Situation**: In a Principal-level loop, the hiring manager asked about long-term trajectory. **Task**: Align my vision with the company's needs while showing ambition and impact focus. **Action**: I said: "In five years, I aim to be a Staff/Principal data engineer driving architectural decisions and scaling data platforms. I want to own data strategy for a significant domain—perhaps a business unit or company-wide—and be the go-to person for complex, high-stakes problems....

Question 3

Demonstrate the difference between DENSE_RANK() and RANK()

Accepted Answer

**RANK()**: Same rank for ties; skips subsequent ranks (e.g., 1, 2, 2, 4, 5). **DENSE_RANK()**: Same rank for ties; no gaps (e.g., 1, 2, 2, 3, 4). **Why it matters**: RANK preserves "position" semantics (e.g., 4th place); DENSE_RANK gives consecutive integers useful for filtering (e.g., TOP 10). **Example**: `SELECT name, salary, RANK() OVER (ORDER BY salary DESC) AS rk, DENSE_RANK() OVER (ORDER BY salary DESC) AS dense_rk FROM employee`....

Question 4

Write a query to find the top three highest-paid employees in each department using window functions.

Accepted Answer

**Architectural Logic:** Same pattern as ID 116—window + filter. DENSE_RANK for 'include ties'; ROW_NUMBER for exactly 3. **Query:** WITH ranked AS (SELECT employee_id, name, department, salary, DENSE_RANK() OVER (PARTITION BY department ORDER BY salary DESC) AS rn FROM employees) SELECT employee_id, name, department, salary FROM ranked WHERE rn <= 3 ORDER BY department, salary DESC....

Question 5

Can you provide an example of a time when you went above and beyond for a project?

Accepted Answer

Situation: A critical pipeline failed 36 hours before a board presentation; data was 24 hours stale and downstream revenue dashboards were breaking. Task: Own the incident, restore data integrity, and ensure zero-impact to the presentation. Action: I volunteered to lead the incident response....

Question 6

How do you handle feedback and criticism?

Accepted Answer

Situation: In a 360 review, I received feedback that my documentation was too technical—analysts and PMs couldn't use my runbooks. Task: Improve my communication without becoming defensive. Action: I asked clarifying questions to understand which sections were confusing. I adopted the SBI model (Situation, Behavior, Impact) when giving feedback. I rewrote key docs with TL;DR summaries, visual diagrams, and a 'For non-engineers' section. I ran a doc review session and incorporated feedback....

Question 7

How do you prioritize tasks when managing multiple projects simultaneously?

Accepted Answer

Situation: I led 3 data domains with separate roadmaps. Task: Create sustainable allocation. Action: I aligned stakeholders on priority; allocated 50%/30%/20% of time. I used focus blocks, set timelines, delegated, and created a 'stop doing' list....

Question 8

Suppose two teams have conflicting requirements for the same data. How would you manage the situation?

Accepted Answer

Situation: Team A wanted schema X; Team B wanted Y for same base data. Task: Resolve without one-off hacks. Action: I facilitated: understood each use case. Options: multiple views, negotiate common model, abstraction layers. We chose abstraction—base layer unified; each team got views. Established data steward. Documented SLAs....

Wipro Data Engineer Interview Questions

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Wipro Data Engineer Interview Questions

Reading isn't practice. Get AI feedback on your answers.

Other Companies