Upload Button Icon Add office photos

Filter interviews by

Datadot Software Solutions Data Engineer Interview Questions and Answers

Updated 16 Jul 2024

Datadot Software Solutions Data Engineer Interview Experiences

1 interview found

Data Engineer Interview Questions & Answers

user image radhwa dhiya

posted on 16 Jul 2024

Interview experience
5
Excellent
Difficulty level
-
Process Duration
-
Result
-
Round 1 - HR 

(2 Questions)

  • Q1. Explain the thesis
  • Ans. 

    The thesis is a statement or theory that is put forward as a premise to be maintained or proved.

    • A thesis is a central idea or argument that a writer or speaker presents in a text or speech.

    • It is typically found in the introduction or conclusion of a paper or presentation.

    • The thesis should be clear, specific, and debatable to guide the reader or listener through the rest of the work.

  • Answered by AI
  • Q2. Education background
Round 2 - Technical 

(2 Questions)

  • Q1. Explain the thesis
  • Ans. 

    The thesis is a statement or theory that is put forward as a premise to be maintained or proved.

    • A thesis is a central idea or argument that a writer or speaker puts forward.

    • It is typically found in the introduction of an essay or research paper.

    • The thesis guides the reader or listener through the rest of the work, providing a focus for the content.

    • For example, in a research paper on climate change, the thesis might be:...

  • Answered by AI
  • Q2. Internship experience

Interview questions from similar companies

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

I applied via Company Website and was interviewed in Oct 2024. There were 4 interview rounds.

Round 1 - Coding Test 

Basic Python, SQL, and Bash questions

Round 2 - One-on-one 

(4 Questions)

  • Q1. SQL questions with operations that include changing from string to array. Tip: stick to RDBMS-specific dialects only (like Postgres), I used Spark SQL
  • Q2. Simple Python questions with a follow-up to optimise it
  • Q3. Bash script-based questions, are pretty basic.
  • Q4. Data pipeline design and best practices.
  • Ans. 

    Data pipeline design involves creating a system to efficiently collect, process, and analyze data.

    • Understand the data sources and requirements before designing the pipeline.

    • Use tools like Apache Kafka, Apache NiFi, or AWS Glue for data ingestion and processing.

    • Implement data validation and error handling mechanisms to ensure data quality.

    • Consider scalability and performance optimization while designing the pipeline.

    • Doc...

  • Answered by AI
Round 3 - One-on-one 

(3 Questions)

  • Q1. Easy to medium Leetcode-based question. With moderate difficulty.
  • Q2. Simple Python-based question with optimisation.
  • Q3. Design specific questions based on Data pipelines.
Round 4 - Behavioral 

(3 Questions)

  • Q1. SQL-based question with moderate difficulty.
  • Q2. Python-based questions, follow questions with some optimisations.
  • Q3. Bash-script based round.

Skills evaluated in this interview

Interview experience
4
Good
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Not Selected

I applied via Naukri.com and was interviewed in Dec 2024. There were 2 interview rounds.

Round 1 - Aptitude Test 

It was well designed

Round 2 - Technical 

(2 Questions)

  • Q1. Basic Questions about data warehousing
  • Q2. Dbt Scenarios

Interview Preparation Tips

Interview preparation tips for other job seekers - Prepare well for dbt and other ETL tools
Interview experience
5
Excellent
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Technical 

(3 Questions)

  • Q1. What is bigadata
  • Ans. 

    Big data refers to large and complex data sets that are difficult to process using traditional data processing applications.

    • Big data involves large volumes of data

    • It includes data from various sources such as social media, sensors, and business transactions

    • Big data requires specialized tools and technologies for processing and analysis

  • Answered by AI
  • Q2. How spark works
  • Ans. 

    Spark is a distributed computing framework that processes big data in memory and is known for its speed and ease of use.

    • Spark is a distributed computing framework that can process data in memory for faster processing.

    • It uses Resilient Distributed Datasets (RDDs) for fault-tolerant distributed data processing.

    • Spark provides high-level APIs in Java, Scala, Python, and R for ease of use.

    • It supports various data sources li...

  • Answered by AI
  • Q3. Explain your application
  • Ans. 

    Our application is a data engineering platform that processes and analyzes large volumes of data to provide valuable insights.

    • Our application uses various data processing techniques such as ETL (Extract, Transform, Load) to clean and transform raw data into usable formats.

    • We utilize big data technologies like Hadoop, Spark, and Kafka to handle large datasets efficiently.

    • The application also includes machine learning al...

  • Answered by AI

Interview Preparation Tips

Interview preparation tips for other job seekers - Work on basic. And have clear understanding of concepts , accept what you dont know and show attitude to learn and work on require skill
Interview experience
5
Excellent
Difficulty level
-
Process Duration
-
Result
-
Round 1 - One-on-one 

(2 Questions)

  • Q1. What are different data structures?
  • Ans. 

    Data structures are ways to organize and store data in a computer system.

    • Arrays: a collection of elements stored in contiguous memory locations

    • Linked Lists: a sequence of elements where each element points to the next one

    • Stacks: a Last In First Out (LIFO) data structure

    • Queues: a First In First Out (FIFO) data structure

    • Trees: hierarchical data structures with a root node and child nodes

    • Graphs: a collection of nodes conn

  • Answered by AI
  • Q2. What are different types of databases
  • Ans. 

    Different types of databases include relational, NoSQL, graph, and time-series databases.

    • Relational databases: store data in tables with rows and columns (e.g. MySQL, PostgreSQL)

    • NoSQL databases: flexible, schema-less databases (e.g. MongoDB, Cassandra)

    • Graph databases: store data in nodes and edges to represent relationships (e.g. Neo4j)

    • Time-series databases: optimized for storing and querying time-stamped data (e.g. In

  • Answered by AI

Interview Preparation Tips

Interview preparation tips for other job seekers - Brush up your basics?

Skills evaluated in this interview

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

I applied via LinkedIn and was interviewed in Jul 2024. There were 2 interview rounds.

Round 1 - Coding Test 

Hackerearth problem on reversing the string & one more array question

Round 2 - Technical 

(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

  • Answered by AI
  • Q2. SQL based windowing function

Skills evaluated in this interview

Interview experience
4
Good
Difficulty level
Hard
Process Duration
4-6 weeks
Result
Selected Selected

I applied via Company Website and was interviewed in Feb 2024. There were 4 interview rounds.

Round 1 - Technical 

(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.

  • Answered by AI
  • Q2. Coding question from BST
Round 2 - Technical 

(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

  • Answered by AI
Round 3 - Technical 

(2 Questions)

  • Q1. Sql technical round
  • Q2. About various azure services
Round 4 - Technical 

(2 Questions)

  • Q1. About my work area
  • Q2. Managerial and company fit

Interview Preparation Tips

Interview preparation tips for other job seekers - Learn DSA and in depth knowledge of your work and field

Skills evaluated in this interview

Interview experience
3
Average
Difficulty level
-
Process Duration
-
Result
-
Round 1 - One-on-one 

(2 Questions)

  • Q1. Project discussion
  • Q2. SQL
Interview experience
5
Excellent
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Technical 

(1 Question)

  • Q1. Explain surrogate key
  • Ans. 

    Surrogate key is a unique identifier used in databases to uniquely identify each record in a table.

    • Surrogate keys are typically generated by the system and have no business meaning.

    • They are used to simplify database operations and improve performance.

    • Example: Using an auto-incrementing integer column as a surrogate key in a table.

  • Answered by AI
Interview experience
3
Average
Difficulty level
Moderate
Process Duration
2-4 weeks
Result
Selected Selected

I applied via Recruitment Consulltant and was interviewed in Oct 2023. There were 2 interview rounds.

Round 1 - Aptitude Test 

Test kn logical reasons , date time , train , relationship questions.

Round 2 - Coding Test 

Basic python questions

Datadot Software Solutions Interview FAQs

How many rounds are there in Datadot Software Solutions Data Engineer interview?
Datadot Software Solutions interview process usually has 2 rounds. The most common rounds in the Datadot Software Solutions interview process are HR and Technical.
What are the top questions asked in Datadot Software Solutions Data Engineer interview?

Some of the top questions asked at the Datadot Software Solutions Data Engineer interview -

  1. Explain the the...read more
  2. Education backgro...read more

Tell us how to improve this page.

Full Stack Developer
20 salaries
unlock blur

₹3.6 L/yr - ₹9 L/yr

Software Developer
6 salaries
unlock blur

₹4.8 L/yr - ₹6.2 L/yr

Digital Marketing Executive
6 salaries
unlock blur

₹1 L/yr - ₹2.4 L/yr

Software Tester
4 salaries
unlock blur

₹4.1 L/yr - ₹7.2 L/yr

Solution Architect
4 salaries
unlock blur

₹22 L/yr - ₹31 L/yr

Explore more salaries
Compare Datadot Software Solutions with

Bosch Global Software Technologies

4.0
Compare

Amdocs

3.8
Compare

Automatic Data Processing (ADP)

4.0
Compare

Carelon Global Solutions

4.0
Compare
Did you find this page helpful?
Yes No
write
Share an Interview