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Altimetrik Senior Data Engineer Interview Questions and Answers

Updated 12 Jan 2025

7 Interview questions

A Senior Data Engineer was asked 8mo ago
Q. What services have you used in GCP?
Ans. 

I have used services like BigQuery, Dataflow, Pub/Sub, and Cloud Storage in GCP.

  • BigQuery for data warehousing and analytics

  • Dataflow for real-time data processing

  • Pub/Sub for messaging and event ingestion

  • Cloud Storage for storing data and files

A Senior Data Engineer was asked 8mo ago
Q. Explain the Spark architecture.
Ans. 

Spark architecture is a distributed computing framework that consists of a driver program, cluster manager, and worker nodes.

  • Spark architecture includes a driver program that manages the execution of the Spark application.

  • It also includes a cluster manager that allocates resources and schedules tasks on worker nodes.

  • Worker nodes are responsible for executing the tasks and storing data in memory or disk.

  • Spark archi...

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A Senior Data Engineer was asked 8mo ago
Q. What are accumulators in Spark?
Ans. 

Accumulators are shared variables that are updated by worker nodes and can be used for aggregating information across tasks.

  • Accumulators are used for implementing counters and sums in Spark.

  • They are only updated by worker nodes and are read-only by the driver program.

  • Accumulators are useful for debugging and monitoring purposes.

  • Example: counting the number of errors encountered during processing.

A Senior Data Engineer was asked 8mo ago
Q. What is pub/sub?
Ans. 

Pub/sub is a messaging pattern where senders (publishers) of messages do not program the messages to be sent directly to specific receivers (subscribers).

  • Pub/sub stands for publish/subscribe.

  • Publishers send messages to a topic, and subscribers receive messages from that topic.

  • It allows for decoupling of components in a system, enabling scalability and flexibility.

  • Examples include Apache Kafka, Google Cloud Pub/Sub...

A Senior Data Engineer was asked 8mo ago
Q. Write an SQL query to find duplicate data.
Ans. 

Query to find duplicate data using SQL

  • Use GROUP BY and HAVING clause to identify duplicate records

  • Select columns to check for duplicates

  • Use COUNT() function to count occurrences of each record

A Senior Data Engineer was asked 11mo ago
Q. How would you design an ETL flow in GCP?
Ans. 

Designing ETL flow in Google Cloud Platform (GCP) involves defining data sources, transformation processes, and loading destinations.

  • Identify data sources and extract data using GCP services like Cloud Storage, BigQuery, or Cloud SQL.

  • Transform data using tools like Dataflow or Dataprep to clean, enrich, and aggregate data.

  • Load transformed data into target destinations such as BigQuery, Cloud Storage, or other data...

A Senior Data Engineer was asked
Q. How do you find duplicates in a list using Python?
Ans. 

Use a dictionary to find duplicates in a list of strings in Python.

  • Create an empty dictionary to store the count of each string in the list.

  • Iterate through the list and update the count in the dictionary for each string.

  • Print out the strings that have a count greater than 1 to find duplicates.

Are these interview questions helpful?

Altimetrik Senior Data Engineer Interview Experiences

10 interviews found

Interview experience
3
Average
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Selected Selected

I applied via Naukri.com and was interviewed in Dec 2024. There were 4 interview rounds.

Round 1 - Coding Test 

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Round 2 - Coding Test 

NA fklwmoiwef,m ionfwno njnwfeio onfwp

Round 3 - Technical 

(2 Questions)

  • Q1. NAnak wel wenk weon
  • Q2. NAnank
Round 4 - One-on-one 

(2 Questions)

  • Q1. Wedlk k fwkllk own lnfw
  • Q2. Now odnw pmpw pnwpf
Interview experience
4
Good
Difficulty level
Moderate
Process Duration
2-4 weeks
Result
No response

I applied via Recruitment Consulltant and was interviewed in Sep 2024. There were 2 interview rounds.

Round 1 - Technical 

(3 Questions)

  • Q1. What are accumulators in spark?
  • Ans. 

    Accumulators are shared variables that are updated by worker nodes and can be used for aggregating information across tasks.

    • Accumulators are used for implementing counters and sums in Spark.

    • They are only updated by worker nodes and are read-only by the driver program.

    • Accumulators are useful for debugging and monitoring purposes.

    • Example: counting the number of errors encountered during processing.

  • Answered by AI
  • Q2. Explain spark architecture
  • Ans. 

    Spark architecture is a distributed computing framework that consists of a driver program, cluster manager, and worker nodes.

    • Spark architecture includes a driver program that manages the execution of the Spark application.

    • It also includes a cluster manager that allocates resources and schedules tasks on worker nodes.

    • Worker nodes are responsible for executing the tasks and storing data in memory or disk.

    • Spark architectu...

  • Answered by AI
  • Q3. Write a query to find duplicate data using SQL
  • Ans. 

    Query to find duplicate data using SQL

    • Use GROUP BY and HAVING clause to identify duplicate records

    • Select columns to check for duplicates

    • Use COUNT() function to count occurrences of each record

  • Answered by AI
Round 2 - Technical 

(2 Questions)

  • Q1. What is pub/sub?
  • Ans. 

    Pub/sub is a messaging pattern where senders (publishers) of messages do not program the messages to be sent directly to specific receivers (subscribers).

    • Pub/sub stands for publish/subscribe.

    • Publishers send messages to a topic, and subscribers receive messages from that topic.

    • It allows for decoupling of components in a system, enabling scalability and flexibility.

    • Examples include Apache Kafka, Google Cloud Pub/Sub, and...

  • Answered by AI
  • Q2. What services have you used in GCP
  • Ans. 

    I have used services like BigQuery, Dataflow, Pub/Sub, and Cloud Storage in GCP.

    • BigQuery for data warehousing and analytics

    • Dataflow for real-time data processing

    • Pub/Sub for messaging and event ingestion

    • Cloud Storage for storing data and files

  • Answered by AI

Interview Preparation Tips

Interview preparation tips for other job seekers - Work on SQL ,GCP ,Pyspark

Skills evaluated in this interview

Interview experience
5
Excellent
Difficulty level
Easy
Process Duration
Less than 2 weeks
Result
-

I applied via Recruitment Consulltant and was interviewed in Apr 2024. There was 1 interview round.

Round 1 - Coding Test 

Hackerearth, advanced sql queries on joins, string literals, sql conceptual MCQ

Interview Preparation Tips

Topics to prepare for Altimetrik Senior Data Engineer interview:
  • SQL
  • databricks
  • Python
  • Azure
Interview preparation tips for other job seekers - really great experience. they are handling lot of projects in data engineering for real. one should definitely give a shot of interview if looking for serious job switch.
Interview experience
4
Good
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Technical 

(2 Questions)

  • Q1. Design etl flow in gcp
  • Ans. 

    Designing ETL flow in Google Cloud Platform (GCP) involves defining data sources, transformation processes, and loading destinations.

    • Identify data sources and extract data using GCP services like Cloud Storage, BigQuery, or Cloud SQL.

    • Transform data using tools like Dataflow or Dataprep to clean, enrich, and aggregate data.

    • Load transformed data into target destinations such as BigQuery, Cloud Storage, or other databases...

  • Answered by AI
  • Q2. Hive, pyspark, python, sql questions

Interview Preparation Tips

Interview preparation tips for other job seekers - Sql, python, gcp, pyspark, hive, spark

Skills evaluated in this interview

Interview experience
4
Good
Difficulty level
Easy
Process Duration
Less than 2 weeks
Result
Selected Selected

I applied via LinkedIn and was interviewed before Jan 2024. There were 2 interview rounds.

Round 1 - Coding Test 

Assesment it was from codility i guess

Round 2 - Technical 

(2 Questions)

  • Q1. Question on sql basic, pyspark basic
  • Q2. Python basic
Interview experience
4
Good
Difficulty level
Moderate
Process Duration
2-4 weeks
Result
Selected Selected
Round 1 - Technical 

(1 Question)

  • Q1. Bigquery and GCP
Round 2 - One-on-one 

(1 Question)

  • Q1. More of project and attitute
Interview experience
4
Good
Difficulty level
Easy
Process Duration
2-4 weeks
Result
No response

I applied via Naukri.com and was interviewed in Mar 2024. There was 1 interview round.

Round 1 - Coding Test 

MCQ questions related to pyspark and big data technologies.

Interview experience
2
Poor
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Technical 

(1 Question)

  • Q1. Find duplicates in list python
  • Ans. 

    Use a dictionary to find duplicates in a list of strings in Python.

    • Create an empty dictionary to store the count of each string in the list.

    • Iterate through the list and update the count in the dictionary for each string.

    • Print out the strings that have a count greater than 1 to find duplicates.

  • Answered by AI

Skills evaluated in this interview

Interview experience
5
Excellent
Difficulty level
Moderate
Process Duration
2-4 weeks
Result
Selected Selected

I appeared for an interview before May 2023.

Round 1 - Coding Test 

Conceptual round with some pyspark coding

Round 2 - Technical 

(1 Question)

  • Q1. Python coding three questions and big data concepts
Round 3 - One-on-one 

(1 Question)

  • Q1. Conceptual with manager and prior experience related

Interview Preparation Tips

Interview preparation tips for other job seekers - Python coding,spark,SQL, conceptual
Interview experience
5
Excellent
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Resume Shortlist 
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
Round 2 - Hakers rank test 

(1 Question)

  • Q1. Sql bigdata pyspark
Round 3 - Coding Test 

Sql join related question and pyspark coding

Round 4 - Behavioral 

(1 Question)

  • Q1. 50 % technical 50% general
Round 5 - HR 

(1 Question)

  • Q1. Salary discussion

Top trending discussions

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Interview Tips & Stories
2w
toobluntforu
·
works at
Cvent
Can speak English, can’t deliver in interviews
I feel like I can't speak fluently during interviews. I do know english well and use it daily to communicate, but the moment I'm in an interview, I just get stuck. since it's not my first language, I struggle to express what I actually feel. I know the answer in my head, but I just can’t deliver it properly at that moment. Please guide me
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Altimetrik Interview FAQs

How many rounds are there in Altimetrik Senior Data Engineer interview?
Altimetrik interview process usually has 2-3 rounds. The most common rounds in the Altimetrik interview process are Technical, Coding Test and One-on-one Round.
How to prepare for Altimetrik Senior 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 Altimetrik. The most common topics and skills that interviewers at Altimetrik expect are Python, SQL, Big Data, Spark and Data Engineering.
What are the top questions asked in Altimetrik Senior Data Engineer interview?

Some of the top questions asked at the Altimetrik Senior Data Engineer interview -

  1. What services have you used in ...read more
  2. Write a query to find duplicate data using ...read more
  3. What are accumulators in spa...read more

Tell us how to improve this page.

Overall Interview Experience Rating

4/5

based on 10 interview experiences

Difficulty level

Easy 43%
Moderate 57%

Duration

Less than 2 weeks 43%
2-4 weeks 57%
View more
Altimetrik Senior Data Engineer Salary
based on 238 salaries
₹9 L/yr - ₹30 L/yr
At par with the average Senior Data Engineer Salary in India
View more details

Altimetrik Senior Data Engineer Reviews and Ratings

based on 20 reviews

4.0/5

Rating in categories

3.7

Skill development

3.8

Work-life balance

4.2

Salary

3.7

Job security

3.9

Company culture

3.3

Promotions

3.6

Work satisfaction

Explore 20 Reviews and Ratings
Altimetrik is hiring For senior Data Engineers

Chennai,

Bangalore / Bengaluru

6-11 Yrs

Not Disclosed

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