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Impetus Technologies
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Impetus Technologies Data Engineer Interview Questions, Process, and Tips
Top Impetus Technologies Data Engineer Interview Questions and Answers
- Q1. How do you handle out of memory issue in spark?
- Q2. And data structure implementation in python/java
- Q3. S3 bucket type and life cycle policy in s3?
Impetus Technologies Data Engineer Interview Experiences
11 interviews found
Anonymous
(4 Questions)
- Q1. Tell me about your current project.
- Ans.
I am currently working on developing a data pipeline for analyzing customer behavior in an e-commerce platform.
Designing and implementing ETL processes to extract, transform, and load data from various sources
Building data models to analyze customer interactions and purchasing patterns
Creating visualizations and dashboards to present insights to stakeholders
- Q2. 2 coding questions from pyspark.
- Q3. What is Broadcast Join?
- Ans.
Broadcast Join is a type of join operation in distributed computing where one smaller dataset is broadcasted to all nodes for joining with a larger dataset.
In Broadcast Join, one smaller dataset is broadcasted to all nodes in a distributed system.
This smaller dataset is then joined with a larger dataset that is partitioned across the nodes.
Broadcast Join is efficient when the smaller dataset can fit in memory across al...
- Q4. How do you handle out of memory issue in spark?
- Ans.
Handling out of memory issue in Spark involves optimizing memory usage, partitioning data, and increasing resources.
Optimize memory usage by tuning Spark configurations like executor memory, driver memory, and shuffle partitions.
Partition data to distribute workload evenly across nodes and avoid data skew.
Increase resources by adding more nodes, increasing memory allocation, or using a larger cluster.
Use persistence me...
Skills evaluated in this interview
I applied via Naukri.com and was interviewed in Oct 2024. There were 2 interview rounds.
(1 Question)
- Q1. Basics of DE and project
(1 Question)
- Q1. Indepth Pyspark.
(1 Question)
- Q1. Ask various theoretical concepts from hive as i have experience in hive.
(1 Question)
- Q1. Ask mostly hands-on questions from spark.
(1 Question)
- Q1. Why i'm leaving my current organization?
- Ans.
Seeking new challenges and growth opportunities.
Looking for a new challenge to further develop my skills and knowledge.
Interested in exploring different technologies and industries.
Seeking a role with more growth opportunities and career advancement.
Want to work in a more collaborative and innovative environment.
Gargi Bharati
I applied via Naukri.com and was interviewed in Sep 2024. There was 1 interview round.
(2 Questions)
- Q1. Basic python Question
- Q2. Explain project
- Ans.
Developed a data pipeline to ingest, process, and analyze customer feedback data
Designed and implemented ETL processes to extract data from various sources
Used tools like Apache Spark and Kafka for real-time data processing
Built data models and visualizations to identify trends and insights
Collaborated with cross-functional teams to improve data quality and accuracy
Impetus Technologies interview questions for designations
(2 Questions)
- Q1. Spark Internal working
- Q2. SQL joins, optimisation technique
Spark internal architecture, Spark configuration, SQL questions, Python question on arrays.
Get interview-ready with Top Impetus Technologies Interview Questions
(1 Question)
- Q1. Water trapping Problem in DSA
- Ans.
Water trapping problem involves calculating the amount of water that can be trapped between bars in an array.
The problem can be solved using two pointers approach.
Iterate through the array and keep track of the maximum height on the left and right side of each bar.
Calculate the amount of water trapped at each bar by subtracting the bar's height from the minimum of the maximum heights on both sides.
Sum up the trapped wa...
(1 Question)
- Q1. Domain related questions
Interview Preparation Tips
Data Engineer Jobs at Impetus Technologies
(1 Question)
- Q1. Python program string operations
Selected
I applied via Company Website and was interviewed before Sep 2023. There was 1 interview round.
(2 Questions)
- Q1. Questions on window fxns
- Q2. Questions on python intermediate coding
Interview Preparation Tips
(2 Questions)
- Q1. Big data interview questions
- Q2. Spark interview questions
(1 Question)
- Q1. Spark hive and cloud
Interview Preparation Tips
I applied via LinkedIn and was interviewed in Jun 2022. There were 2 interview rounds.
(2 Questions)
- Q1. Highest salary in sql?
- Ans.
The highest salary in SQL depends on the data and industry.
The highest salary in SQL varies depending on the industry and location.
Factors such as experience, education, and job role also impact salary.
For example, a senior data engineer in Silicon Valley may earn a higher salary than a junior data engineer in a smaller city.
- Q2. S3 bucket type and life cycle policy in s3?
- Ans.
S3 bucket types are Standard, Intelligent-Tiering, Standard-Infrequent Access, One Zone-Infrequent Access, and Glacier. Life cycle policy automates data movement.
S3 bucket types are designed to optimize storage costs and access patterns.
Standard is for frequently accessed data, Intelligent-Tiering for variable access patterns, Standard-Infrequent Access for infrequent access, One Zone-Infrequent Access for infrequent a...
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Impetus Technologies Interviews By Designations
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Impetus Technologies Data Engineer Interview Process
based on 9 interviews
2 Interview rounds
- Technical Round - 1
- Technical Round - 2
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Impetus Technologies Data Engineer Reviews and Ratings
based on 7 reviews
Rating in categories
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Senior Software Engineer
701
salaries
|  ₹0 L/yr - ₹0 L/yr |
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Software Engineer
540
salaries
| ₹0 L/yr - ₹0 L/yr |
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Module Lead Software Engineer
276
salaries
| ₹0 L/yr - ₹0 L/yr |
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Module Lead
249
salaries
| ₹0 L/yr - ₹0 L/yr |
|
Lead Software Engineer
201
salaries
| ₹0 L/yr - ₹0 L/yr |
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