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AlphaSense Data Engineer Interview Questions and Answers
AlphaSense Data Engineer Interview Experiences
1 interview found
Anonymous
Selected
I applied via Recruitment Consulltant and was interviewed before Sep 2022. There were 3 interview rounds.
2-3 questions SQL-based questions on one sample dataset. They test for your knowledge on
- Window functions
- Complex joins
- Use of CTE's
- Query performance and cost optimization
(2 Questions)
- Q1. Tell me about a data engineering challenge you faced. How did you tackle it and what was the outcome?
- Ans.
Migrating data from on-premise servers to cloud storage
Identified data sources and destination in cloud storage
Developed ETL pipelines to extract, transform, and load data
Ensured data integrity and security during migration process
Monitored and optimized performance of data transfer
Collaborated with cross-functional teams for successful migration
- Q2. Tell me about a scenario where you noticed a data discrepancy or an inefficiency in the current process.
Skills evaluated in this interview
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Interview questions from similar companies
I applied via Naukri.com and was interviewed in Dec 2024. There were 2 interview rounds.
It was well designed
(2 Questions)
- Q1. Basic Questions about data warehousing
- Q2. Dbt Scenarios
Interview Preparation Tips
(2 Questions)
- Q1. How to build data pipeline
- Q2. IICS
I applied via Naukri.com and was interviewed in Dec 2024. There was 1 interview round.
(1 Question)
- Q1. About the project and technical aspect
Selected
I applied via LinkedIn and was interviewed in Jul 2024. There were 2 interview rounds.
Hackerearth problem on reversing the string & one more array question
(2 Questions)
- Q1. Reverse the string
- Ans.
Reverse a given string
Use built-in functions like reverse() in Python
Iterate through the string in reverse order and append characters to a new string
Use stack data structure to reverse the string
- Q2. SQL based windowing function
Skills evaluated in this interview
Selected
I applied via Company Website and was interviewed in Feb 2024. There were 4 interview rounds.
(2 Questions)
- Q1. What are cyclic linked lists
- Ans.
Cyclic linked lists are linked lists where the last node points back to the first node, creating a loop.
Cyclic linked lists have no NULL pointers, making it difficult to determine the end of the list.
They can be used to efficiently represent circular data structures like a round-robin scheduling algorithm.
Detecting cycles in a linked list can be done using Floyd's cycle-finding algorithm.
- Q2. Coding question from BST
(2 Questions)
- Q1. About data modelling and Architecture
- Q2. Real world problem and solution
- Ans.
Real world problem: Predicting customer churn in a subscription-based service
Collect and analyze customer data such as usage patterns, demographics, and interactions
Use machine learning algorithms to identify factors leading to churn
Implement targeted retention strategies based on the analysis
Monitor and evaluate the effectiveness of the strategies over time
(2 Questions)
- Q1. Sql technical round
- Q2. About various azure services
(2 Questions)
- Q1. About my work area
- Q2. Managerial and company fit
Interview Preparation Tips
Skills evaluated in this interview
(1 Question)
- Q1. Tell me about yourself, second highest salary , question related to coleasce function
I applied via Campus Placement and was interviewed in May 2024. There were 2 interview rounds.
It's seems to be easy
It is quite difficult
Selected
I applied via Recruitment Consulltant and was interviewed before Jun 2022. There were 3 interview rounds.
Sql queries not too difficult asked to write on google document.
(1 Question)
- Q1. It’s was for contractual position and had only one round which is technical and HR combined
I applied via Naukri.com and was interviewed in Jun 2021. There were 4 interview rounds.
Interview Questionnaire
3 Questions
- Q1. 1.joins and all basic SQL questions
- Q2. 2. Oops knowledge advantage but not necessary.
- Ans.
Object-oriented programming (OOP) knowledge is an advantage but not necessary for a data engineer.
OOP concepts like inheritance, encapsulation, and polymorphism can be useful in designing data models.
OOP languages like Java and Python are commonly used in data engineering.
Understanding OOP can help with debugging and maintaining code.
However, OOP is not a requirement for data engineering and other programming paradigms
- Q3. 3.er relationship
Interview Preparation Tips
2.tech1
3.tech2
4.hr
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