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Teradata Senior Data Engineer Interview Questions and Answers

Updated 1 Mar 2024

Teradata Senior Data Engineer Interview Experiences

1 interview found

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

I was asked two SQL questions.
The first was to find customers who liked both apples and oranges. The second one was to find the customer with the highest order value

Interview Preparation Tips

Interview preparation tips for other job seekers - Be familiar with the teradata architecture

Interview questions from similar companies

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

(2 Questions)

  • Q1. Cache vs persist
  • Ans. 

    Cache is used for temporary storage of data in memory, while persist is used for saving data to disk for long-term storage.

    • Cache is typically faster as it stores data in memory for quick access.

    • Persist saves data to disk for durability and long-term storage.

    • Cache is often used for temporary data that can be recomputed if lost, while persist is used for important data that needs to be retained.

    • Examples: Using cache for ...

  • Answered by AI
  • Q2. Broadcast join and other optimization techniques
Round 2 - One-on-one 

(4 Questions)

  • Q1. Sql window function
  • Q2. Spark architecture, dataframe vs rdd
  • Q3. Python reverse sentence
  • Ans. 

    Reverse a sentence using Python

    • Split the sentence into words using split() method

    • Reverse the list of words using list slicing

    • Join the reversed list of words back into a sentence using join() method

  • Answered by AI
  • Q4. Join based on nulls in sql

Skills evaluated in this interview

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

(2 Questions)

  • Q1. How did you ingest kafka data and you day to day activity
  • Ans. 

    I ingested Kafka data using Kafka Connect and performed data processing and analysis on a daily basis.

    • Used Kafka Connect to ingest data from various sources into Kafka topics

    • Developed custom Kafka Connect connectors for specific data sources

    • Utilized Kafka Streams for real-time data processing and analysis

    • Worked with schema registry for data serialization and deserialization

  • Answered by AI
  • Q2. What is catalyst optimizer
  • Ans. 

    Catalyst optimizer is a query optimization framework in Apache Spark that improves performance by generating optimized query plans.

    • Catalyst optimizer is a rule-based optimization framework in Apache Spark.

    • It leverages advanced techniques like predicate pushdown, constant folding, and join reordering to optimize query plans.

    • Catalyst optimizer helps in improving the performance of Spark SQL queries by selecting the most ...

  • Answered by AI

Interview Preparation Tips

Interview preparation tips for other job seekers - learn spark architecture and about your project end to end

Skills evaluated in this interview

Interview experience
1
Bad
Difficulty level
-
Process Duration
Less than 2 weeks
Result
Not Selected

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

Round 1 - Technical 

(2 Questions)

  • Q1. Stored procedure sql hard
  • Q2. Easy dsa problem solving
Interview experience
3
Average
Difficulty level
-
Process Duration
-
Result
-
Round 1 - One-on-one 

(1 Question)

  • Q1. Tell me about your self
Interview experience
5
Excellent
Difficulty level
Easy
Process Duration
Less than 2 weeks
Result
Not Selected

I applied via AmbitionBox and was interviewed in Feb 2023. There were 2 interview rounds.

Round 1 - Aptitude Test 

Questions testing spatial Ability

Round 2 - HR 

(4 Questions)

  • Q1. Tell me something about yourself
  • Ans. 

    I am a detail-oriented and organized individual with experience in data entry.

    • I have worked as a data entry operator for XYZ Company for 2 years.

    • I am proficient in using Microsoft Excel and other data entry software.

    • I have a strong attention to detail and accuracy, ensuring data integrity.

    • I am able to handle large volumes of data and meet tight deadlines.

    • I am a fast learner and adapt quickly to new systems and processe

  • Answered by AI
  • Q2. My strength are I am a self motivator and hard working discipline person short term goals is a get a job and my long term goal is to achieve a good position where can I build my career as well as an organi...
  • Q3. Why should we hair you
  • Ans. As a fresher I bring a lot of tablets and terms of skills and ability and I very fixability and adaptive to learn new things which mean I will able to contribute something capable to the growth of the company
  • Answered Anonymously
  • Q4. What is your weekness
  • Ans. 

    My weakness is that I can be overly meticulous, which sometimes slows down my work.

    • I tend to double-check my work multiple times to ensure accuracy.

    • I sometimes spend more time than necessary on small details.

    • I am working on finding a balance between thoroughness and efficiency.

    • For example, when entering data, I may spend extra time verifying each entry to avoid errors.

  • Answered by AI

Interview Preparation Tips

Interview preparation tips for other job seekers - Know yourself and what you want
Pump yourself up and stay positive
Interview experience
4
Good
Difficulty level
-
Process Duration
Less than 2 weeks
Result
Selected Selected

I applied via Referral and was interviewed in Mar 2022. There were 2 interview rounds.

Interview Questionnaire 

2 Questions

  • Q1. Technical related to your skill
  • Q2. 2 rounds of technical interview

I applied via Approached by Company and was interviewed in Nov 2021. There were 2 interview rounds.

Interview Questionnaire 

1 Question

  • Q1. This round will be taken by an architect or manager of the department that you will be going in. You won’t be expected to code but you will be given scenarios and you have to explain the approach that you ...

Interview Preparation Tips

Topics to prepare for UKG Senior Software Engineer interview:
  • Java
  • Forgerock
  • Bash
  • Linux
Interview preparation tips for other job seekers - Questions will be asked from your resume so please double check what you have mentioned in your resume
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 - One-on-one 

(1 Question)

  • Q1. C and java programming questions

Interview Preparation Tips

Interview preparation tips for other job seekers - Improve technical skills and communication skills

I applied via Recruitment Consultant and was interviewed in Nov 2021. There was 1 interview round.

Interview Questionnaire 

1 Question

  • Q1. Debouncing , callbacks

Interview Preparation Tips

Interview preparation tips for other job seekers - It depends on panel who is conducting the interview

Teradata Interview FAQs

How many rounds are there in Teradata Senior Data Engineer interview?
Teradata interview process usually has 1 rounds. The most common rounds in the Teradata interview process are Coding Test.
How to prepare for Teradata 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 Teradata. The most common topics and skills that interviewers at Teradata expect are Core Java, Db2, JBoss, MySQL and Oracle.

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Teradata Senior Data Engineer Interview Process

based on 1 interview

Interview experience

4
  
Good
View more
Teradata Senior Data Engineer Salary
based on 44 salaries
₹9.5 L/yr - ₹25 L/yr
At par with the average Senior Data Engineer Salary in India
View more details

Teradata Senior Data Engineer Reviews and Ratings

based on 2 reviews

5.0/5

Rating in categories

3.0

Skill development

5.0

Work-life balance

4.7

Salary

4.0

Job security

5.0

Company culture

4.0

Promotions

4.7

Work satisfaction

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