Accenture Data Engineer Interview Experience
Accenture · Mid level
Interview process
Overall, the interview process was well organized and professional. The interviewers were engaged, respectful of time, and provided opportunities to discuss both technical and behavioral experiences. I appreciated the focus on real-world problem solving and the chance to explain my thought process rather than just provide answers.
What went well was my ability to communicate my experience with data engineering, data warehousing, ETL pipelines, and large-scale data processing. I was also able to provide detailed examples from past projects and relate them to the requirements of the role.
One area that could have gone better was managing time during some of the technical discussions. In a few cases, I spent more time than necessary exploring alternative approaches before arriving at the final solution. Looking back, I could have structured my responses more concisely and clarified assumptions earlier.
Overall, the process was a valuable experience that helped me better understand the role, the team’s expectations, and the areas where I can continue to improve
Interview rounds · 4
- 1
Recruiter screen
- Q1. What are your weaknesses?
- 2
Phone screen
- Q1. What is a p-value?
- 3
Technical round
- Q1. Design an AI data product.
- 4
Final / onsite round
- Q1. Implement LRU Cache.
Tips from the candidate
Star Schema vs Snowflake Schema
Fact Tables vs Dimension Tables
Grain
SCD Type 1, 2, 3
Conformed Dimensions
Surrogate Keys
Factless Fact Tables
Transaction vs Snapshot Fact Tables
Data Warehouse Bus Architecture
ETL and Data Quality
Company culture
Interview process hiring team ,recruitment team all were very helpful