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TresVista Data Engineer Interview Questions and Answers

Updated 2 Oct 2024

TresVista Data Engineer Interview Experiences

1 interview found

Data Engineer Interview Questions & Answers

user image chaitanya gabhane

posted on 2 Oct 2024

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 Sep 2024. There was 1 interview round.

Round 1 - Technical 

(2 Questions)

  • Q1. Python basic codes
  • Q2. SQL query of aggregate function
  • Ans. 

    SQL query using aggregate functions to perform calculations on a dataset

    • Use aggregate functions like SUM, AVG, COUNT, MIN, MAX to perform calculations on a dataset

    • Group data using GROUP BY clause to apply aggregate functions on specific groups

    • Filter data using HAVING clause after applying aggregate functions

  • Answered by AI

Interview Preparation Tips

Interview preparation tips for other job seekers - Worst company

Skills evaluated in this interview

Interview questions from similar companies

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 Dec 2024. There were 2 interview rounds.

Round 1 - Technical 

(1 Question)

  • Q1. SQL queries, python questions, project overview
Round 2 - Behavioral 

(1 Question)

  • Q1. Project description, what all technologies you worked upon, will u be able to relocate, etc
Interview experience
5
Excellent
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Selected Selected

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

Round 1 - Technical 

(2 Questions)

  • Q1. SQL and Python and Spark related questions
  • Q2. Project-oriented questions
Round 2 - Technical 

(2 Questions)

  • Q1. Coding and AWS cloud-related questions like GLUE, LAMBDA, Redshift etc
  • Q2. Project and managerial-related questions
Interview experience
3
Average
Difficulty level
-
Process Duration
-
Result
Not Selected
Round 1 - One-on-one 

(4 Questions)

  • Q1. What is delta lake and its architecture
  • Ans. 

    Delta Lake is an open-source storage layer that brings ACID transactions to Apache Spark and big data workloads.

    • Delta Lake provides ACID transactions, scalable metadata handling, and unifies streaming and batch data processing.

    • It stores data in Parquet format and uses a transaction log to keep track of all the changes made to the data.

    • Delta Lake architecture includes a storage layer, a transaction log, and a metadata l...

  • Answered by AI
  • Q2. Activities in ADF
  • Ans. 

    Activities in ADF refer to the tasks or operations that can be performed in Azure Data Factory.

    • Activities can include data movement, data transformation, data processing, and data orchestration.

    • Examples of activities in ADF are Copy Data activity, Execute Pipeline activity, Lookup activity, and Web activity.

    • Activities can be chained together in pipelines to create end-to-end data workflows.

    • Each activity in ADF has prop...

  • Answered by AI
  • Q3. Explain mounting process in Databricks
  • Ans. 

    Mounting process in Databricks allows users to access external data sources within the Databricks environment.

    • Mounting allows users to access external data sources like Azure Blob Storage, AWS S3, etc.

    • Users can mount a storage account to a Databricks File System (DBFS) path using the Databricks UI or CLI.

    • Mounted data can be accessed like regular DBFS paths in Databricks notebooks and jobs.

  • Answered by AI
  • Q4. Difference between Blob storage vs Data Lake
  • Ans. 

    Blob storage is for unstructured data, while Data Lake is for structured and unstructured data with metadata.

    • Blob storage is optimized for storing large amounts of unstructured data like images, videos, and backups.

    • Data Lake is designed to store structured and unstructured data with additional metadata for easier organization and analysis.

    • Blob storage is typically used for simple storage needs, while Data Lake is used ...

  • Answered by AI

Skills evaluated in this interview

Interview experience
5
Excellent
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Selected Selected

I applied via Referral and was interviewed before Nov 2022. There were 3 interview rounds.

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 - Coding Test 

SQL coding and Ssis technical skills

Round 3 - Technical 

(1 Question)

  • Q1. SQL server Database concepts
Interview experience
5
Excellent
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Technical 

(2 Questions)

  • Q1. What are hooks, event loop usecontext api
  • Q2. What is aggregator
Interview experience
4
Good
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
No response

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

Round 1 - Technical 

(4 Questions)

  • Q1. What is the difference between normal and arrow functions
  • Ans. 

    Arrow functions are more concise and have a lexical 'this' binding compared to normal functions.

    • Arrow functions do not have their own 'this' keyword, they inherit it from the parent scope.

    • Arrow functions do not have their own 'arguments' object.

    • Arrow functions cannot be used as constructors with 'new'.

    • Arrow functions are more concise and have implicit return when no curly braces are used.

  • Answered by AI
  • Q2. All basic JS Questions to cover Hoisting closure
  • Q3. They asked to show me an example using the API call
  • Q4. Difference between forEach and Map
  • Ans. 

    forEach is used to iterate over an array and perform a function on each element, while map creates a new array by applying a function to each element.

    • forEach does not return a new array, while map does

    • forEach does not modify the original array, while map creates a new array

    • forEach is used for side effects, while map is used for transformation

    • Example: forEach - array.forEach(item => console.log(item)), map - const newAr

  • Answered by AI

Interview Preparation Tips

Interview preparation tips for other job seekers - Cover JS basics

Skills evaluated in this interview

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

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Round 2 - Assignment 

Bsppq hspals bsoak nspal bdoa a

Round 3 - Group Discussion 

Hsoaks bspapa bosoaks bospmwa bosoebs

Round 4 - One-on-one 

(2 Questions)

  • Q1. Jspwpaknsbe jsos heopw
  • Q2. Jsppq jepwl jspam
Round 5 - Case Study 

Hdosm jspwl jspwla bqiq heowwo hsowoa

Round 6 - One-on-one 

(2 Questions)

  • Q1. Hslwla jwpwpq belwp
  • Q2. Bspwlw noslw nspq a
Interview experience
3
Average
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Not Selected

I applied via campus placement at National Institute of Technology (NIT), Silchar and was interviewed in Oct 2024. There was 1 interview round.

Round 1 - Technical 

(2 Questions)

  • Q1. Asked about oops
  • Q2. And also aked SQL related queries

Interview Preparation Tips

Interview preparation tips for other job seekers - go hard
Interview experience
5
Excellent
Difficulty level
Moderate
Process Duration
2-4 weeks
Result
Selected Selected

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

Round 1 - Technical 

(3 Questions)

  • Q1. SQL Window functions
  • Q2. Excel computed fields in pivot tables
  • Ans. 

    Excel pivot tables allow users to create computed fields using formulas.

    • In Excel pivot tables, computed fields are created by adding a new field with a formula.

    • Formulas can be simple arithmetic operations or more complex calculations.

    • Computed fields can be used to perform calculations on existing data in the pivot table.

    • Examples: calculating profit margin by dividing revenue by cost, calculating average sales per month

  • Answered by AI
  • Q3. Difference in precision and recall
  • Ans. 

    Precision is the ratio of correctly predicted positive observations to the total predicted positives, while recall is the ratio of correctly predicted positive observations to the all observations in actual class.

    • Precision focuses on the accuracy of positive predictions, while recall focuses on the proportion of actual positives that were correctly identified.

    • Precision = TP / (TP + FP)

    • Recall = TP / (TP + FN)

    • Example: In...

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

(2 Questions)

  • Q1. About past experience
  • Q2. Past project details

Skills evaluated in this interview

TresVista Interview FAQs

How many rounds are there in TresVista Data Engineer interview?
TresVista interview process usually has 1 rounds. The most common rounds in the TresVista interview process are Technical.
How to prepare for TresVista 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 TresVista. The most common topics and skills that interviewers at TresVista expect are Hive, SQL, DBMS, Linux and Machine Learning.
What are the top questions asked in TresVista Data Engineer interview?

Some of the top questions asked at the TresVista Data Engineer interview -

  1. SQL query of aggregate funct...read more
  2. Python basic co...read more

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