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Knowledge Lens Senior Big Data Engineer Interview Questions and Answers

Updated 9 May 2024

Knowledge Lens Senior Big Data Engineer Interview Experiences

1 interview found

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

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

Round 1 - Case Study 

Scenario based case study

Round 2 - Technical 

(1 Question)

  • Q1. Informatica related question

Interview questions from similar companies

Interview experience
3
Average
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Not Selected

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

Round 1 - Technical 

(4 Questions)

  • Q1. All employees having same salary in the smae department sql and pysprk
  • Q2. How to create pipeline in databricks
  • Ans. 

    To create a pipeline in Databricks, you can use Databricks Jobs or Apache Airflow for orchestration.

    • Use Databricks Jobs to create a pipeline by scheduling notebooks or Spark jobs.

    • Utilize Apache Airflow for more complex pipeline orchestration with dependencies and monitoring.

    • Leverage Databricks Delta for managing data pipelines with ACID transactions and versioning.

  • Answered by AI
  • Q3. Palindrome, 2nd char in every word make is to upper case, sql rank and dense rank releated questions , given 2 tables country and city we need to calculate total population in each continent by joining the...
  • Q4. String manuplation questions inpython

Interview Preparation Tips

Interview preparation tips for other job seekers - PRepare well on pyspark
Interview experience
5
Excellent
Difficulty level
Moderate
Process Duration
4-6 weeks
Result
Not Selected

I applied via Approached by Company and was interviewed in Aug 2024. There were 3 interview rounds.

Round 1 - One-on-one 

(3 Questions)

  • Q1. Bias variance trade off
  • Q2. What is AB testing
  • Ans. 

    AB testing is a method used to compare two versions of a webpage or app to determine which one performs better.

    • AB testing involves creating two versions (A and B) of a webpage or app with one differing element

    • Users are randomly assigned to either version A or B to measure performance metrics

    • The version that performs better in terms of the desired outcome is selected for implementation

    • Example: Testing two different call...

  • Answered by AI
  • Q3. Basic traditional ML question about ML metrics, bagging boosting etc.
Round 2 - Assignment 

It was a classification problem

Round 3 - Technical 

(3 Questions)

  • Q1. Questions about assignment
  • Q2. Questions from resume.
  • Q3. Questions based on probability, statistics and loss functions

Interview Preparation Tips

Topics to prepare for Talentica Software Data Scientist interview:
  • NLP
  • Machine Learning
Interview preparation tips for other job seekers - Get clear with the ML, statistics and data science basics. Practice problems based on probability.
Interview experience
4
Good
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Coding Test 

Sql assessment round

Round 2 - Technical 

(1 Question)

  • Q1. Python gcp biquery airflow dataflow sql
Round 3 - Client Interview 

(1 Question)

  • Q1. Recent projects experience, bigquery, sql
Round 4 - HR 

(1 Question)

  • Q1. Salary discussion

Interview Preparation Tips

Interview preparation tips for other job seekers - I recently had an interview with TFT and had an good experience, there were in total 3 rounds of interviews. Round one was sql assessment of 30 mins with questions of easy to medium difficulty. Round 2 was purely technical which went for arnd 45 mins with questions on python , gcp dataflow and some sql ques. Round 3 was client round which went for an hour .. then got a confirmation that I cleared and at last there was HR round . Interviewers were friendly and good people to talk to. Took arnd 2-3 weeks.
Interview experience
5
Excellent
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Not Selected

I applied via Instahyre and was interviewed in Jun 2024. There were 3 interview rounds.

Round 1 - Coding Test 

Coding round had one SQL and one Python question. And some mcqs around python and math

Round 2 - One-on-one 

(2 Questions)

  • Q1. It was on store and products querying with SQL
  • Q2. Same questions were asked in Python
Round 3 - One-on-one 

(1 Question)

  • Q1. It was a techno-managerial round with some guesstimates and about my recent projects

Interview Preparation Tips

Interview preparation tips for other job seekers - Please be thorough with your projects and practice some guesstimates
Interview experience
4
Good
Difficulty level
Easy
Process Duration
Less than 2 weeks
Result
Selected Selected

I applied via Referral and was interviewed in May 2024. There were 4 interview rounds.

Round 1 - Coding Test 

Python and SQL questions were asked

Round 2 - One-on-one 

(1 Question)

  • Q1. I was asked about the project
Round 3 - One-on-one 

(1 Question)

  • Q1. ACID properties of DBMS
Round 4 - HR 

(1 Question)

  • Q1. HR question and family background

Interview Preparation Tips

Topics to prepare for Junglee Games Data Engineer interview:
  • SQL
  • Python
Interview experience
5
Excellent
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Not Selected

I applied via Campus Placement and was interviewed in Apr 2024. There were 2 interview rounds.

Round 1 - Assignment 

It was a written test where theoretical SQL questions were asked like primary key, foreign key, set operators and some queries

Round 2 - Technical 

(1 Question)

  • Q1. All SQL Concepts like Join, normalization, trigger, stored procedure, keys, drop truncate del difference, where having difference, Aggregate scaler window functions, fetch duplicate records query, acid pro...

Interview Preparation Tips

Topics to prepare for Saama Technologies Data Engineer interview:
  • SQL
  • Python
  • Pyspark
Interview preparation tips for other job seekers - Clear your concepts deeply with examples sothat you can able to explain it..
Interview experience
4
Good
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
No response
Round 1 - Technical 

(5 Questions)

  • Q1. Ques -> Can you define difference b/w Azure data lake and Delta lake.
  • Ans. 

    Azure Data Lake is a cloud-based storage and analytics service, while Delta Lake is an open-source storage layer that adds reliability to data lakes.

    • Azure Data Lake is a service provided by Microsoft Azure for storing and analyzing large amounts of data.

    • Delta Lake is an open-source storage layer that adds ACID transactions and schema enforcement to data lakes.

    • Azure Data Lake is a cloud-based solution, while Delta Lake ...

  • Answered by AI
  • Q2. How to implemented Primary key and foreign key in delta tables.
  • Ans. 

    Primary keys and foreign keys can be implemented in delta tables using constraints and references.

    • Primary keys can be implemented using the PRIMARY KEY constraint, which ensures that each record in the table has a unique identifier.

    • Foreign keys can be implemented using the FOREIGN KEY constraint, which establishes a link between two tables based on a common column.

    • The referenced table must have a primary key defined, a...

  • Answered by AI
  • Q3. How to handle exception in python?
  • Ans. 

    Exception handling in Python allows for the graceful handling of errors and prevents program crashes.

    • Use try-except blocks to catch and handle exceptions.

    • Multiple except blocks can be used to handle different types of exceptions.

    • The finally block is executed regardless of whether an exception occurred or not.

    • Exceptions can be raised using the 'raise' keyword.

    • Custom exceptions can be defined by creating a new class that

  • Answered by AI
  • Q4. What is star schema and snowflake schema
  • Ans. 

    Star schema is a data modeling technique where a central fact table is connected to multiple dimension tables. Snowflake schema is an extension of star schema with normalized dimension tables.

    • Star schema is a simple and denormalized structure

    • It consists of a central fact table connected to multiple dimension tables

    • Dimension tables contain descriptive attributes

    • Star schema is easy to understand and query, but can lead t...

  • Answered by AI
  • Q5. Which are the most frequently change
  • Ans. 

    The most frequently changing data

    • Customer preferences

    • Market trends

    • Weather data

    • Stock prices

    • Social media trends

  • Answered by AI

Skills evaluated in this interview

Interview experience
5
Excellent
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Not Selected

I applied via campus placement at Sastra University and was interviewed in Mar 2024. There were 2 interview rounds.

Round 1 - Aptitude Test 

Well designed to test the aptitude competence of the candidate.

Round 2 - One-on-one 

(2 Questions)

  • Q1. Explanations for the answers given to the aptitude questions.
  • Q2. Questions from python.

Interview Preparation Tips

Interview preparation tips for other job seekers - Prepare based on the JD.
Interview experience
2
Poor
Difficulty level
Hard
Process Duration
Less than 2 weeks
Result
Not Selected

I applied via Campus Placement and was interviewed in May 2024. There were 2 interview rounds.

Round 1 - Coding Test 

Two coding questions

Round 2 - Technical 

(2 Questions)

  • Q1. DBMS questions, keys
  • Q2. SQL related queries

Interview Preparation Tips

Interview preparation tips for other job seekers - Focus on data structure, DBMS, SQL queries

Knowledge Lens Interview FAQs

How many rounds are there in Knowledge Lens Senior Big Data Engineer interview?
Knowledge Lens interview process usually has 2 rounds. The most common rounds in the Knowledge Lens interview process are Case Study and Technical.

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Knowledge Lens Senior Big Data Engineer Interview Process

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Interview experience

3
  
Average
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Knowledge Lens Senior Big Data Engineer Salary
based on 25 salaries
₹7.9 L/yr - ₹16.5 L/yr
34% less than the average Senior Big Data Engineer Salary in India
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4.0/5

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