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Kloud 9 Data Engineer Interview Questions and Answers
Updated
2 Apr 2023
1 interview found
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Anonymous
Interview experience
Poor
Difficulty level
Moderate
Duration
Less than 2 weeks
Result
No response
I applied via Recruitment Consulltant and was interviewed before Apr 2022.
2 Interview Rounds
1
Resume Shortlist Round
Pro Tip by AmbitionBox:
Keep your resume crisp and to the point. A recruiter looks at your resume for an average of 6 seconds, make sure to leave the best impression.
View all tips
2
Technical Round (2 Questions)
- Q1. Explain data lake in AWS Redshift View Answers (1)
- Q2. Explain Spark based programming View Answers (1)
Interview Preparation Tips
Interview preparation tips for other job seekers - No feedback after interview.
Not a good experience
Small tiny company with big ego employees
just avoid!!
Not a good experience
Small tiny company with big ego employees
just avoid!!
Skills evaluated in this interview
Data Engineer Jobs at Kloud 9
Interview questions from similar companies
Interview experience
Average
Difficulty level
Moderate
Duration
Less than 2 weeks
Result
No response
I applied via Naukri.com and was interviewed in Oct 2024.
2 Interview Rounds
1
Technical Round (7 Questions)
- Q1. How do you optimize SQL queries? View Answers (1)
- Q2. How do you do performance optimization in Spark. Tell how you did it in you project. View Answers (1)
- Q3. What is SparkContext and SparkSession? View Answers (1)
- Q4. When a spark job is submitted, what happens at backend. Explain the flow. View Answers (2)
- Q5. Calculate second highest salary using SQL as well as pyspark. View Answers (1)
- Q6. 2 types of modes for Spark architecture ? View Answers (1)
- Q7. If you want very less latency - which is better standalone or client mode? View Answers (1)
2
Technical Round (2 Questions)
- Q1. Scenario based. Write SQL and pyspark code for a dataset. Add Answer
- Q2. If you have to find latest record based on latest timestamp in a table for a particular customer(table is having history) , how will you do it. Self join and ne...read more Add Answer
Interview Preparation Tips
Topics to prepare for LTIMindtree Data Engineer interview:
- SQL
- pyspark
- ETL
Skills evaluated in this interview
Sashikanta Parida
Interview experience
Excellent
Difficulty level
Moderate
Duration
Less than 2 weeks
Result
Not Selected
I applied via Recruitment Consulltant and was interviewed in Nov 2024.
2 Interview Rounds
1
Technical Round (3 Questions)
- Q1. What are different type of joins available in Databricks? View Answers (1)
- Q2. How do you make your data pipeline fault tolerant? View Answers (1)
- Q3. What is AutoLoader? View Answers (1)
2
Technical Round (2 Questions)
- Q1. How do you connect to different services in Azure? View Answers (1)
- Q2. What are linked Services? View Answers (1)
Rutuja Bhagat
Interview experience
Good
Difficulty level
Easy
Duration
-
Result
-
I applied via Recruitment Consulltant and was interviewed in Nov 2024.
1 Interview Round
1
Technical Round (7 Questions)
- Q1. Difference between bigtable and bigquery. View Answers (1)
- Q2. How to remove duplicate rows from bigquery? find the month of a given date in bigquery. View Answers (1)
- Q3. What operator is used in composer to move data from gcs to bq View Answers (1)
- Q4. Write a code for this - input = [1,2,3,4]
output = [1,4,9,16] View Answers (1)
- Q5. Dataflow vs dataproc. View Answers (1)
- Q6. Architecture of bq. Query optimization techniques in bigquery. View Answers (1)
- Q7. RDD vs dataframe vs dataset in pyspark View Answers (1)
Lakshmi Narayana
Interview experience
Good
Difficulty level
-
Duration
-
Result
-
2 Interview Rounds
1
Technical Round (2 Questions)
- Q1. Explain adf questions in detail View Answers (1)
- Q2. Project related questions Add Answer
2
Technical Round (2 Questions)
- Q1. Project data related questions Add Answer
- Q2. Databricks and SQL interview questions Add Answer
Interview experience
Excellent
Difficulty level
Moderate
Duration
Less than 2 weeks
Result
Selected
I applied via Recruitment Consulltant and was interviewed in Jun 2024.
1 Interview Round
1
One-on-one Round (20 Questions)
- Q1. Tell me about yourself View Answers (1)
- Q2. Project Architecture Add Answer
- Q3. Rate yourself out of 5 in Pyspark , Python and SQL View Answers (1)
- Q4. How to handle duplicates in python ? View Answers (1)
- Q5. Methods of migrating Hive metdatastore to unity catalog in Databricks ? View Answers (1)
- Q6. Read a CSV file from ADLS path ? View Answers (1)
- Q7. There was a table provided on coding screen and asked to write different programs and SQL queries from the table and tell the approach you are taking ? Like age...read more Add Answer
- Q8. How many stages will create from the above code that I have written View Answers (1)
- Q9. Narrow vs Wide Transformation ? View Answers (1)
- Q10. What are action and transformation ? View Answers (1)
- Q11. What happens when we enforce the schema and when we manually define the schema in the code ? View Answers (1)
- Q12. What all the optimisation are possible to reduce the overhead of reducing the reading part of large datasets in spark ? View Answers (2)
- Q13. Write a sql query to find the name of person who logged in last within each country from Person Table ? View Answers (1)
- Q14. Difference between List and Tuple ? View Answers (1)
- Q15. Difference between Rank , Dense Rank and Row Number and when we are using each of them ? View Answers (1)
- Q16. What is List Comprehension ? View Answers (2)
- Q17. Tell me about the performance optimization done in your project ? Add Answer
- Q18. Difference between the interactive cluster and job cluster ? View Answers (1)
- Q19. How to add a column in dataframe ? How to rename the column in dataframe ? View Answers (1)
- Q20. Difference between Coalesce and Repartition and In which case we are using it ? View Answers (2)
Interview Preparation Tips
Topics to prepare for Accenture Data Engineer interview:
- Spark
- Databricks
- SQL
- Python
- ETL
Interview experience
Average
Difficulty level
Moderate
Duration
-
Result
Not Selected
I applied via Walk-in
2 Interview Rounds
1
Technical Round (2 Questions)
- Q1. Difference between rank and dense_rank, Left vs Left anti join View Answers (1)
- Q2. Python list comprehension, SQL query Add Answer
2
Behavioral Round (1 Question)
- Q1. Project related questions Add Answer
Interview Preparation Tips
Interview preparation tips for other job seekers - No response from HR, even after clearing technical and managerial rounds
Skills evaluated in this interview
Interview experience
Average
Difficulty level
Moderate
Duration
Less than 2 weeks
Result
Not Selected
I applied via LinkedIn and was interviewed in Nov 2024.
1 Interview Round
1
Technical Round (2 Questions)
- Q1. How to Ensure Data loss in ETL pipeline Add Answer
- Q2. Why to spin up Dataproc cluster when there is serverless batch job exists. Add Answer
Abhishek Paithankar
Interview experience
Excellent
Difficulty level
-
Duration
-
Result
-
3 Interview Rounds
1
Aptitude Test Round
Aptitude test involved with quantative aptitude, logical reasoning and reading comprehensions.
2
Technical Round (2 Questions)
- Q1. Tell me your introduction. Add Answer
- Q2. Tell me about your skills. View Answers (1)
3
HR Round (2 Questions)
- Q1. Are you ready relocate,? View Answers (1)
- Q2. Document verification Add Answer
Interview Preparation Tips
Interview preparation tips for other job seekers - If you are fresher first prepare for aptitude, because once aptitude get cleared you will get selected from the large compitition and then focus on your technical knowledge and managerial skills about the company.
Interview experience
Good
Difficulty level
-
Duration
-
Result
-
2 Interview Rounds
1
Technical Round (2 Questions)
- Q1. About python, sql, pyspark Add Answer
- Q2. Spark Architecture. Add Answer
2
HR Round (2 Questions)
- Q1. When can you join. View Answers (1)
- Q2. . Add Answer
Kloud 9 Interview FAQs
How many rounds are there in Kloud 9 Data Engineer interview?
Kloud 9 interview process usually has 2 rounds. The most common rounds in the Kloud 9 interview process are Resume Shortlist and Technical.
How to prepare for Kloud 9 Data Engineer interview?
Go through your CV in detail and study all the technologies mentioned in your CV. Prepare at least two technologies or languages in depth if you are appearing for a technical interview at Kloud 9. The most common topics and skills that interviewers at Kloud 9 expect are Python, Spark, SQL, Hive and AWS.
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