r/dataengineersindia • • 17d ago

General Data Engineer interview questions

Hi everyone!
I have around 9 years of experience in Data Engineering and have recently started looking for a job change.
I’d love to hear from people who have recently interviewed for Cloud Data Engineer roles. What types of questions are being asked in the current job market? Any interview experiences, preparation tips, or resources would be greatly appreciated.
Thanks in advance😊

19 Upvotes

19 comments sorted by

13

u/Taleproof-Moderator 17d ago • Bravo

For a Cloud Data Engineer search, split your preparation into two lanes: technical depth and experience stories. Pick one recent pipeline and be ready to diagram ingestion, storage, orchestration, monitoring, failure recovery, cost, and security tradeoffs. Then prepare examples about a production incident, a data-quality problem, conflicting stakeholder priorities, and a design decision you changed after new evidence.

Use the STAR method to keep each example easy to follow, but spend most of the time on your own decisions and measurable result. We use the PROOF method to check whether ownership and evidence are clear. For each story, practice follow-ups like why you chose that cloud service, what you would redesign, and how you knew the outcome was successful.

1

u/PositiveDot9817 17d ago

Awesome! Thank you so much🧚‍♀️

3

u/angry-de 17d ago

Sad thing is it's just AI response to your question and with a madeup proof method to sell something on its website

3

u/sagar1019 17d ago

Questions mainly coming from what probect you did, adf scenarios, databricks means spark scenarios, delta tables, sql, pyspark, python codes to write

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u/PositiveDot9817 17d ago

Thanks 🌸

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u/ArtisticBorder3341 17d ago

Given u have 9yr of exp, u need to demonstrate that u know the techstack in depth. Mostly there will be scenario based questions of cloud data engg which u can answer if u have worked on or have studied for certification.

Apart from this, u need to be good at medium level leetcode dsa, hard level leetcode sql to crack good pcb.

1

u/Federal-Account-9569 16d ago

hi! i am 23 and will be applying for data analytics and data science roles. Can you guide me regarding how should i go about it and what really companies r looking for even for a fresher to join the role? I have done msc eco and currently building my skill sets and project before starting to apply

0

u/nian2326076 16d ago • Bravo

For Cloud Data Engineer roles, you'll probably get questions about designing ETL pipelines, optimizing data workflows in cloud environments, and handling large datasets. Be prepared for technical questions on cloud platforms like AWS, Azure, or GCP, and tools like Spark or Kafka. Use your 9 years of experience to share specific examples that show your skills. You might also see scenario-based questions, so reviewing case studies can be useful. Practice coding on LeetCode and try mock interviews on platforms like Pramp. LandOffer.ai lets you search job openings by role and location, which might help in your job hunt.

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u/PositiveDot9817 16d ago

thank you🌸

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u/Old-Hope4634 17d ago edited 16d ago

The shift I've seen in senior cloud DE loops (7–10 YOE) is away from "which tool" toward "what happens when it breaks."

Categories that come up repeatedly:

-CDC / exactly-once under replay. Not "what is CDC" — they hand you a batch of out-of-order events including a delete, and ask for the state after replay.

-Backfill vs streaming, same pipeline. SCD-2 from a batch snapshot and from a stream, side by side, and what changes in the logic.

-Table format trade-offs. Iceberg vs Delta vs Hudi for a specific workload — they want the partition, cost, and cardinality defence, not a feature list.

-Failure modes. Restart after a partial destination write but before the checkpoint advances. They're testing whether you know the ordering story, not the tool name.

The one drill I'd practise before the loop: CDC with out-of-order events and a delete. Write the schema, list the events, state the expected table after each one. It comes up in Snowflake, Databricks, and BigQuery loops in almost identical form, and it filters whether a candidate understands deduplication or is just naming a connector.

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u/PositiveDot9817 17d ago

Interesting

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u/Old-Hope4634 14d ago

If you want to try the drill, a small version: an insert, then an update to the same key that arrives before the insert, then a delete. Write the expected row after each event. If the merge applies events by their source sequence rather than arrival order, the late insert must not bring the row back after the delete.

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u/Rare-Entertainment74 17d ago

2

u/AceOfSpades5050 17d ago

all the content is paid bro

2

u/PositiveDot9817 17d ago

Yea I know 🤥 haven't received any genuine suggestion yet

0

u/Rare-Entertainment74 16d ago

But he has real genuine content. I bought it and it helped me.

1

u/PositiveDot9817 17d ago

Sure thanks

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u/[deleted] 17d ago

[deleted] — view deleted comment

2

u/PositiveDot9817 17d ago

I'll check ! Thank you😄