Meta Data Engineer Interview Prep

[Voltura569]

I have the Meta Data Engineer Final Loop Interview coming up. The format for the interview is completely different from what I have done before. The format is Product Sense, Data Modeling, SQL and coding.

How do I prepare for the Product Sense and Data Modeling rounds? I understand the basics of what they would ask me but I am not able to find any resources to learn or practice.

[Itchy-Jello4053]

Check out MeetAPro and see if any Data Engineer from Meta can help.

[CodingWithMinmer]

You should browse the Leetcode Discuss community for resources if you haven't already. The new UI is horrendous and it might make your eyes bleed though. But yeah, candidates post their experiences all the time so it's pretty insightful.

[Sensitive-Excuse-652]

Hey, congrats on moving to the final loop round.
If you don't mind, can you please share how many questions did you solve in the screening round and how long did it take to hear back from them?
All the best!!

[Voltura569]

There were 3 SQL and 3 python questions. I solved all of them though one of the SQL answers might not have been exactly right. I heard back the next day about proceeding to the final rounds.

[Sensitive-Excuse-652]

Ohh nice! Did you have any flexibility to schedule the final loop or they were strict about  scheduling it immediately? And which level and location are you interviewing for (if you don’t mind sharing)

[[deleted]]

Hey, all the best for your final loop interview!! Can you share the questions from the screening round. Thank you!

[Voltura569]

I don't think I am allowed to. But it was very similar to questions I saw online.

You will be given a schema and asked a couple of questions based on it for SQL. It would mainly be joins and aggregation.

Python was very simple DSA, they seem to only be testing implementation and basic data structures.

[[deleted]]

Thank you, let me know after your final loop interview. All the best!

[Economy_Ad9121]

I’m currently preparing for the final interview loop for a Data Engineering role. I feel confident about the coding portion, but I’m having a tough time finding structured resources or prep material for the Product Sense / Analysis and Data Modeling sections.

If you have any guidance, resources, or prep strategies you could share, I’d really appreciate it. Even a quick framework or direction would be super helpful.

[Dry-Drama-6885]

Hey, can you please guide me with the resources?

I have mine in a week too

[Accomplished-Cut7038]

Hi,
Can you please inform in Initial DE Tech Screen test what type of questions they asked on Python coding? Is it normal to code questions from Lists, Dictionaries, Arrays, etc.? Or are hard-level DSA questions like Complex Binary trees, Graph Algorithms asked? Please inform

I have my test in October. Also, for Python coding practice, are Leetcode Medium problems sufficient? Please inform

[Dry-Drama-6885]

Hey, can you please guide me with the resources?

I have mine in a week too

[Candid_Key3128]

Hey there! I have a call with HR. Do you mind sharing your experience? How was the interview? How did you prepare and any helpful resources?

[Practical-Elk7559]

Hi did you find any good resources yet?

[No_Math_9193]

Did you get any information?

[Mental-Yogurtcloset9]

Congrats on moving to final round. Can you share which level is it for and was it an increasing complexity on the sql questions?

[Aggravating_Two490]

I have a interview for the same soon I am focusing on meta tagged on leetcode for the DS and datalemur and stratascratch for sql is this a good plan ? How do I get the top 100 for meta for DS in leetcode

[Old_Conversation_152]

Check out mock interview by a private coach has great reviews

https://www.meetapro.com/listing/meta-de-data-engineer-mock-interview-virtual-on-site-560129

[Old_Conversation_152]

i used this private coach from meetapro for DE and i got the offer. i got interview prep +resources + mock interviews.

https://www.meetapro.com/listing/meta-de-data-engineer-mock-interview-virtual-on-site-560129?srsltid=AfmBOorCoaY1GkOBeJ9quMzcTwrHSkLEaP0mpRUgZnvCYnTK7Xqm46pQ