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Deutsche Telekom Digital Labs Senior Data Engineer Interview Questions and Answers

Updated 8 Sep 2022

Deutsche Telekom Digital Labs Senior Data Engineer Interview Experiences

1 interview found

I applied via Recruitment Consulltant and was interviewed in Mar 2022. There were 3 interview rounds.

Round 1 - One-on-one 

(1 Question)

  • Q1. SQL, spark, hadoop, Linux,python
Round 2 - Technical 

(1 Question)

  • Q1. System design, real time data ingestion architecture and processing
Round 3 - HR 

(1 Question)

  • Q1. Strength and weakness

Interview Preparation Tips

Interview preparation tips for other job seekers - Strong SQL, python and spark , aws knowledge is important to crack

Interview questions from similar companies

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

I applied via Referral and was interviewed before May 2023. There were 2 interview rounds.

Round 1 - Technical 

(3 Questions)

  • Q1. Interviews question about adf adls gen2 ,databricks and experience
  • Ans. One might ask you on how can one configure these
  • Answered Anonymously
  • Q2. Transformations in databricks
  • Ans. 

    Transformations in Databricks involve manipulating data using functions like map, filter, reduce, etc.

    • Transformations are operations that are applied to RDDs in Databricks

    • Common transformations include map, filter, reduce, flatMap, etc.

    • Transformations are lazy evaluated and create a new RDD

    • Example: map transformation to convert each element in an RDD to uppercase

  • Answered by AI
  • Q3. Concepts in spark
  • Ans. 

    Spark is a distributed computing framework for processing big data.

    • Spark is built around the concept of Resilient Distributed Datasets (RDDs)

    • It supports various programming languages like Scala, Java, Python, and R

    • Spark provides high-level APIs like DataFrames and Datasets for structured data processing

    • It includes libraries for SQL, streaming, machine learning, and graph processing

    • Spark can run on various cluster manag

  • Answered by AI
Round 2 - Technical 

(3 Questions)

  • Q1. In depth discussion on projects
  • Q2. Performance enhancemnets in pyspark
  • Ans. 

    Performance enhancements in PySpark involve optimizing code, tuning configurations, and utilizing efficient data structures.

    • Use partitioning to distribute data evenly across nodes

    • Cache intermediate results to avoid recomputation

    • Optimize joins by broadcasting smaller tables

    • Use efficient data formats like Parquet or ORC

    • Tune Spark configurations for memory and parallelism

  • Answered by AI
  • Q3. Data handling and data quality

Skills evaluated in this interview

Interview experience
4
Good
Difficulty level
-
Process Duration
-
Result
Selected Selected
Round 1 - One-on-one 

(3 Questions)

  • Q1. What is Overfitting in decision tree
  • Ans. 

    Overfitting in decision trees occurs when the model learns noise in the training data rather than the underlying pattern.

    • Overfitting happens when the decision tree is too complex and captures noise in the training data.

    • It leads to poor generalization on unseen data, as the model is too specific to the training set.

    • To prevent overfitting, techniques like pruning, setting a minimum number of samples per leaf, or using en

  • Answered by AI
  • Q2. What is bagging
  • Ans. 

    Bagging is a machine learning ensemble technique where multiple models are trained on different subsets of the training data and their predictions are combined.

    • Bagging stands for Bootstrap Aggregating.

    • It helps reduce overfitting by combining the predictions of multiple models.

    • Random Forest is a popular algorithm that uses bagging by training multiple decision trees on random subsets of the data.

  • Answered by AI
  • Q3. What is neuron How its used in DL
  • Ans. 

    A neuron is a basic unit of a neural network that receives input, processes it, and produces an output.

    • Neurons are inspired by biological neurons in the human brain.

    • They receive input signals, apply weights to them, sum them up, and pass the result through an activation function.

    • Neurons are organized in layers in a neural network, with each layer performing specific tasks.

    • In deep learning, multiple layers of neurons ar...

  • Answered by AI

Skills evaluated in this interview

Interview experience
3
Average
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
No response

I applied via Approached by Company and was interviewed in Sep 2024. There was 1 interview round.

Round 1 - Technical 

(2 Questions)

  • Q1. Problems related to Binary Search
  • Q2. Problem statement on BST

Interview Preparation Tips

Interview preparation tips for other job seekers - DSA basics
Interview experience
4
Good
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Selected Selected

I applied via Naukri.com and was interviewed in Jan 2024. There were 3 interview rounds.

Round 1 - Technical 

(3 Questions)

  • Q1. Basic questions of angular and javascript.
  • Q2. Es6 feature , typescript features
  • Q3. Promise, observable, focus on syntax of every thing like interceptor, routing, gaurd and all .
Round 2 - Technical 

(3 Questions)

  • Q1. Behaviour subject, subject, life cycle hooks
  • Q2. This round was not very easy in my case.
  • Q3. Be prepared for array and object of array questions. Like sorting, searching, filtering , any logic .
Round 3 - HR 

(1 Question)

  • Q1. Basic HR questions and managerial round. Not being hard . But learn about your project and past organisation
Interview experience
5
Excellent
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Not Selected

I applied via Referral and was interviewed in Feb 2024. There was 1 interview round.

Round 1 - Technical 

(2 Questions)

  • Q1. Need to find output of given code
  • Q2. Solve some puzzles
Interview experience
3
Average
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Technical 

(1 Question)

  • Q1. Polyfills , basic react app
Interview experience
3
Average
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Coding Test 

I was asked to implement lru cache which i did but still didn’t made to next round as apparently i didn’t complete the working code though in my opinion i did

Interview experience
3
Average
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Technical 

(1 Question)

  • Q1. Telecome domain related questions along with Unix shell scripting and SQL database question .
Interview experience
3
Average
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Aptitude Test 

Simple aptitude test with basic questions

Round 2 - Assignment 

We have given project which we have to submit

Round 3 - One-on-one 

(2 Questions)

  • Q1. Why u want to join us
  • Ans. 

    I want to join because of the company's reputation and growth opportunities.

    • I am impressed by the company's reputation in the industry.

    • I believe the company offers great growth opportunities for my career.

    • I am excited about the projects and technologies the company is working on.

    • I have heard positive feedback from current or former employees of the company.

  • Answered by AI
  • Q2. Aws basic questions and and business of cloud

Interview Preparation Tips

Interview preparation tips for other job seekers - prep for cloud , mainly cloud question will come and if you are a fresher you have to be strong

Deutsche Telekom Digital Labs Interview FAQs

How many rounds are there in Deutsche Telekom Digital Labs Senior Data Engineer interview?
Deutsche Telekom Digital Labs interview process usually has 3 rounds. The most common rounds in the Deutsche Telekom Digital Labs interview process are One-on-one Round, Technical and HR.
How to prepare for Deutsche Telekom Digital Labs 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 Deutsche Telekom Digital Labs. The most common topics and skills that interviewers at Deutsche Telekom Digital Labs expect are AWS, Data Engineering, Java, NoSQL and Python.
What are the top questions asked in Deutsche Telekom Digital Labs Senior Data Engineer interview?

Some of the top questions asked at the Deutsche Telekom Digital Labs Senior Data Engineer interview -

  1. System design, real time data ingestion architecture and process...read more
  2. SQL, spark, hadoop, Linux,pyt...read more

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₹28.4 L/yr - ₹39.5 L/yr
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