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Perficient Data Engineer Interview Questions and Answers
Perficient Data Engineer Interview Experiences
3 interviews found
Komal Vanjari
(2 Questions)
- Q1. JOINS , Exception handling
- Q2. Triggers, Cursors , Constraints
Anonymous
(2 Questions)
- Q1. What are the tools I used for the data engineering ?
- Ans.
Tools used for data engineering include ETL tools, programming languages, databases, and cloud platforms.
ETL tools like Apache NiFi, Talend, and Informatica are used for data extraction, transformation, and loading.
Programming languages like Python, Java, and Scala are used for data processing and analysis.
Databases like MySQL, PostgreSQL, and MongoDB are used for storing and managing data.
Cloud platforms like AWS, Azu...
- Q2. Explain the blockers I got while working?
- Ans.
Blockers faced while working as a Data Engineer
Lack of proper documentation
Inadequate infrastructure
Data quality issues
Limited access to necessary data sources
Inefficient data processing pipelines
Interview Preparation Tips
Skills evaluated in this interview
Selected
I applied via Campus Placement and was interviewed before May 2023. There was 1 interview round.
(1 Question)
- Q1. Given que on self join to find Hierarchy of employee
Interview Preparation Tips
- Sql, python, snowlake, adf
Top trending discussions
Interview questions from similar companies
(2 Questions)
- Q1. How can you optmize dags?
- Ans.
Optimizing dags involves reducing unnecessary tasks, parallelizing tasks, and optimizing resource allocation.
Identify and remove unnecessary tasks to streamline the workflow.
Parallelize tasks to reduce overall execution time.
Optimize resource allocation by scaling up or down based on task requirements.
Use caching and memoization techniques to avoid redundant computations.
Implement data partitioning and indexing for eff
- Q2. How can we handle unacknowledged messages in pubsub?
- Ans.
Unacknowledged messages in pubsub can be handled by implementing retries, dead letter queues, and monitoring mechanisms.
Implement retries for unacknowledged messages to be redelivered.
Use dead letter queues to store messages that repeatedly fail to be processed.
Set up monitoring mechanisms to track unacknowledged messages and identify potential issues.
Skills evaluated in this interview
I applied via LinkedIn and was interviewed in Jan 2024. There were 2 interview rounds.
Easy question. Easy to clear the round
(1 Question)
- Q1. One to one technical questions based on SQL and python.
Interview Preparation Tips
I applied via Naukri.com and was interviewed in Jun 2020. There was 1 interview round.
Interview Questionnaire
1 Question
- Q1. Questions were according to the skills in the resume .spark,SQL,python and a bit of intro of Scala .
I applied via Recruitment Consulltant and was interviewed in Jul 2024. There was 1 interview round.
(2 Questions)
- Q1. Tableau interview questioins
- Q2. SQl based quetions
Selected
I applied via LinkedIn and was interviewed in Mar 2024. There were 3 interview rounds.
It was on cypher query language for me
(1 Question)
- Q1. Define Neo4J architecturaly
- Ans.
Neo4J is a graph database management system that stores data in nodes and relationships.
Uses graph structures to represent and store data
Nodes represent entities and relationships represent connections between entities
Supports ACID transactions for data consistency
Query language is Cypher
(1 Question)
- Q1. Available location
I appeared for an interview in Jun 2022.
2 easy level coding questions and aptitude mcqs
(1 Question)
- Q1. 3 coding questions easy to medium level. Discussion on my project and past internship experience. Basic maths questions from probability, statistic, pnc etc..
Interview Preparation Tips
2 Interview rounds for technical
1st Interview
Duration - 1 hr
Topics - Python DSA question,
(2 Questions)
- Q1. SQL Joins, query , performance
- Q2. Python scripting , pandas, pyspark
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based on 2 interviews
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