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HEPL - A Cavinkare Group Company Data Engineer Interview Questions and Answers

Updated 17 Feb 2023

HEPL - A Cavinkare Group Company Data Engineer Interview Experiences

1 interview found

Data Engineer Interview Questions & Answers

user image Anonymous

posted on 17 Feb 2023

Interview experience
4
Good
Difficulty level
Moderate
Process Duration
-
Result
Selected Selected

I applied via Campus Placement and was interviewed in Aug 2022. There were 3 interview rounds.

Round 1 - Aptitude Test 

No words, but asked difficult question so will take to much of time

Round 2 - Technical 

(6 Questions)

  • Q1. What is a difference between dbms and rdbms
  • Ans. 

    DBMS is a software system to manage databases while RDBMS is a type of DBMS that stores data in a structured manner.

    • DBMS stands for Database Management System while RDBMS stands for Relational Database Management System.

    • DBMS can manage any type of database while RDBMS manages only relational databases.

    • DBMS does not enforce any specific data model while RDBMS enforces the relational data model.

    • Examples of DBMS include M...

  • Answered by AI
  • Q2. Salary expatation, and how to select this post?
  • Q3. Why will give this job in your hand
  • Q4. What are your goals and carrier
  • Q5. What are strength and weekness
  • Ans. 

    My strength is my ability to learn quickly and adapt to new technologies. My weakness is that I tend to be a perfectionist.

    • Strength: Quick learner, adaptable to new technologies

    • Weakness: Perfectionist

    • Example: Learned a new programming language in a short amount of time for a project

    • Example: Spent too much time perfecting a project and missed a deadline

  • Answered by AI
  • Q6. Family background and hobbies
Round 3 - HR 

(2 Questions)

  • Q1. Self intro, why will choose in this post
  • Q2. How much salary to expect

Interview Preparation Tips

Interview preparation tips for other job seekers - No take of leave,Only Consantation of work and interest with the next next work..

Skills evaluated in this interview

Interview questions from similar companies

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

I applied via Company Website and was interviewed in Nov 2024. There were 2 interview rounds.

Round 1 - Technical 

(2 Questions)

  • Q1. Sql constrainsts, star schema, dml dcl commands
  • Q2. About cureent project and responsibilities
Round 2 - Technical 

(2 Questions)

  • Q1. Current projects and resposibilities
  • Q2. Where vs having, reason for job change

Interview Preparation Tips

Interview preparation tips for other job seekers - 1. Technical - about you current project and responsibilities, basic SQL question-constraints, starschema, DML DCL command, one sql query write.
2. Technical with senior manager- about project ,where vs having , reason of job change
Interview experience
2
Poor
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Coding Test 

Oops dsa sql network

Round 2 - Technical 

(2 Questions)

  • Q1. Dsa based python question
  • Q2. Dsa based python question on tress
Round 3 - Technical 

(2 Questions)

  • Q1. Sql question queries
  • Q2. Sql question query
Interview experience
4
Good
Difficulty level
Moderate
Process Duration
2-4 weeks
Result
Not Selected

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

Round 1 - Coding Test 

Some multiple choice, 2 sql and 2 python questions were asked

Round 2 - Technical 

(2 Questions)

  • Q1. Tell me about you project
  • Ans. 

    Developed a real-time data processing system for analyzing customer behavior

    • Used Apache Kafka for streaming data ingestion

    • Implemented data pipelines using Apache Spark for processing and analysis

    • Utilized Elasticsearch for storing and querying large volumes of data

    • Developed custom machine learning models for predictive analytics

  • Answered by AI
  • Q2. Optimising technique that you have used
  • Ans. 

    I have used partitioning and indexing to optimize query performance.

    • Implemented partitioning on large tables to improve query performance by limiting the data scanned

    • Created indexes on frequently queried columns to speed up data retrieval

    • Utilized clustering keys to physically organize data on disk for faster access

  • Answered by AI
Round 3 - Technical 

(2 Questions)

  • Q1. Window partition question was asked
  • Q2. Project related question

Skills evaluated in this interview

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

I applied via campus placement at Vellore Institute of Technology (VIT) and was interviewed in Jun 2024. There were 4 interview rounds.

Round 1 - Aptitude Test 

First round is aptitude test containing general aptitude questions

Round 2 - Coding Test 

Medium to easy level dsa problems

Round 3 - Technical 

(3 Questions)

  • Q1. Questions based on resume
  • Q2. Questions on sql like set operators , and some easy level sql queries
  • Q3. How do you debug in projects
Round 4 - HR 

(2 Questions)

  • Q1. Introduction, Why EY
  • Q2. Are you open to Relocation

Interview Preparation Tips

Topics to prepare for EY Global Delivery Services ( EY GDS) Data Engineer interview:
  • SQL
  • OOPS
Interview preparation tips for other job seekers - be clear abt whatever you put in your resume, focus on sql and oops they asked sql for everyone of my frnds
Interview experience
4
Good
Difficulty level
Hard
Process Duration
Less than 2 weeks
Result
Not Selected

I applied via Walk-in and was interviewed in Apr 2024. There were 3 interview rounds.

Round 1 - Technical 

(2 Questions)

  • Q1. What is lazy evaluation in spark.
  • Ans. 

    Lazy evaluation in Spark delays the execution of transformations until an action is called.

    • Lazy evaluation allows Spark to optimize the execution plan by combining multiple transformations into a single stage.

    • Transformations are not executed immediately, but are stored as a directed acyclic graph (DAG) of operations.

    • Actions trigger the execution of the DAG and produce results.

    • Example: map() and filter() are transformat...

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

    MapReduce is a programming model and processing technique for parallel and distributed computing.

    • MapReduce is used to process large datasets in parallel across a distributed cluster of computers.

    • It consists of two main functions - Map function for processing key/value pairs and Reduce function for aggregating the results.

    • Popularly used in big data processing frameworks like Hadoop for tasks like data sorting, searching...

  • Answered by AI
Round 2 - One-on-one 

(1 Question)

  • Q1. What is skewness and skewd tables
  • Ans. 

    Skewness is a measure of asymmetry in a distribution. Skewed tables are tables with imbalanced data distribution.

    • Skewness is a statistical measure that describes the asymmetry of the data distribution around the mean.

    • Positive skewness indicates a longer tail on the right side of the distribution, while negative skewness indicates a longer tail on the left side.

    • Skewed tables in data engineering refer to tables with imba...

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

(1 Question)

  • Q1. What is spark and explain working
  • Ans. 

    Spark is a distributed computing framework designed for big data processing.

    • Spark is built around the concept of Resilient Distributed Datasets (RDDs) which allow for fault-tolerant parallel processing of data.

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

    • Spark can run on top of Hadoop, Mesos, Kubernetes, or in standalone mode.

    • It includes modules for SQL, streaming, machine learning, and gra...

  • Answered by AI

Interview Preparation Tips

Topics to prepare for HSBC Group Data Engineer interview:
  • Big Data

Skills evaluated in this interview

Interview experience
4
Good
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Technical 

(1 Question)

  • Q1. How you load the data using delta table in adf
  • Ans. 

    You can load data using delta table in ADF by using the Copy Data activity and specifying the delta format.

    • Use the Copy Data activity in ADF to load data into a delta table

    • Specify the delta format in the sink settings of the Copy Data activity

    • Ensure that the source data is compatible with the delta format

  • Answered by AI

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
5
Excellent
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Coding Test 

Asked me two string array question one was to reverse a string without any pre build function and second one was a medium question to print the number and the count of it into the next level of the tree

Round 2 - HR 

(2 Questions)

  • Q1. Who is your idol?
  • Q2. How do you menage your work?
  • Ans. 

    I manage my work by prioritizing tasks, setting goals, staying organized, and communicating effectively with team members.

    • Prioritize tasks based on deadlines and importance

    • Set clear goals and milestones to track progress

    • Stay organized with tools like project management software

    • Communicate effectively with team members to ensure alignment and collaboration

  • Answered by AI
Interview experience
3
Average
Difficulty level
-
Process Duration
-
Result
-
Round 1 - One-on-one 

(2 Questions)

  • Q1. Project discussion
  • Q2. SQL

HEPL - A Cavinkare Group Company Interview FAQs

How many rounds are there in HEPL - A Cavinkare Group Company Data Engineer interview?
HEPL - A Cavinkare Group Company interview process usually has 4 rounds. The most common rounds in the HEPL - A Cavinkare Group Company interview process are Resume Shortlist, Aptitude Test and Technical.
What are the top questions asked in HEPL - A Cavinkare Group Company Data Engineer interview?

Some of the top questions asked at the HEPL - A Cavinkare Group Company Data Engineer interview -

  1. What is a difference between dbms and rd...read more
  2. What are strength and weekn...read more

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HEPL - A Cavinkare Group Company Data Engineer Interview Process

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Interview experience

4
  
Good
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