Add office photos
i
TCS
Compare
Filter interviews by
TCS Big Data Engineer Interview Questions, Process, and Tips
Top TCS Big Data Engineer Interview Questions and Answers
- Q1. What optimization techniques have you utilized in your projects? Please explain with specific use cases.
- Q2. What is the difference between lineage and directed acyclic graphs (DAG)?
- Q3. What is the difference between cache and persistence?
TCS Big Data Engineer Interview Experiences
7 interviews found
Anonymous
I applied via Naukri.com and was interviewed in Sep 2022. There were 2 interview rounds.
(4 Questions)
- Q1. Spark , Hadoop Scala basic and advanced questions, SQL query 1)What repartition and coalesce. 3)Windows function .
- Q2. What is hive metastore.
- Ans.
Hive metastore is a central repository that stores metadata for Hive tables, including schema and location.
Hive metastore is used to manage metadata for Hive tables.
It stores information about the schema, location, and other attributes of tables.
The metastore can be configured to use different databases, such as MySQL or PostgreSQL.
It allows for sharing metadata across multiple Hive instances.
The metastore can be acces...
- Q3. Partitioning and bucketing
- Q4. 2)What is spark architecture.
- Ans.
Spark architecture is a distributed computing framework that consists of a cluster manager, a distributed storage system, and a processing engine.
Spark architecture is based on a master-slave architecture.
The cluster manager is responsible for managing the resources of the cluster.
The distributed storage system is used to store data across the cluster.
The processing engine is responsible for executing the tasks on the ...
Interview Preparation Tips
Ask about your self . Ask Hadoop questions , spark architecture, repartition
Skills evaluated in this interview
Murugan R
Selected
I applied via Job Portal and was interviewed in Sep 2023. There were 3 interview rounds.
Easy only so prepare well that's it
(5 Questions)
- Q1. What method you use
- Ans.
I use a combination of programming languages, tools, and frameworks to analyze and process large datasets.
Utilize programming languages like Python, Java, or Scala for data processing
Leverage tools like Hadoop, Spark, or Kafka for distributed computing
Implement frameworks like MapReduce or Apache Flink for data analysis
Use SQL or NoSQL databases for data storage and retrieval
- Q2. Why you lleave current company
- Q3. What skill you have
- Q4. Tell about ur project
- Q5. What you implemented
- Ans.
Implemented a real-time data processing system using Apache Kafka and Spark for analyzing customer behavior.
Developed data pipelines to ingest, process, and analyze large volumes of data
Utilized Apache Kafka for real-time data streaming
Implemented machine learning algorithms for predictive analytics
Optimized data storage and retrieval for faster query performance
Interview Preparation Tips
Skills evaluated in this interview
(1 Question)
- Q1. Basic Big Data architecture and coding questions
(1 Question)
- Q1. External and internal table difference
- Ans.
External tables are stored outside the database while internal tables are stored within the database.
External tables are created using the LOCATION clause to specify the data location.
Internal tables are created using the CREATE TABLE statement.
External tables can be accessed by multiple databases while internal tables are specific to a single database.
External tables are not managed by the database and can be deleted ...
(1 Question)
- Q1. Salary expectation
Skills evaluated in this interview
TCS interview questions for designations
Selected
I applied via Referral and was interviewed before Jan 2024. There was 1 interview round.
(3 Questions)
- Q1. What is the difference between lineage and directed acyclic graphs (DAG)?
- Q2. What optimization techniques have you utilized in your projects? Please explain with specific use cases.
- Q3. What is the difference between cache and persistence?
Interview Preparation Tips
- pyspark
- SQL
- Hive
- Project Management
Get interview-ready with Top TCS Interview Questions
Selected
I applied via campus placement at JNTU College of Engineering, Kakinada and was interviewed before Aug 2023. There were 4 interview rounds.
General maths and English
Basic program coding
(2 Questions)
- Q1. About basic questions and grasping power
- Q2. About my personal life
(1 Question)
- Q1. Checking communication skills
Selected
I applied via Walk-in and was interviewed before May 2023. There was 1 interview round.
(1 Question)
- Q1. What is the difference between tuples and list
- Ans.
Tuples are immutable and fixed in size, while lists are mutable and can change in size.
Tuples are created using parentheses, while lists are created using square brackets.
Tuples are faster than lists for iteration and accessing elements.
Tuples are used for heterogeneous data types, while lists are used for homogeneous data types.
Skills evaluated in this interview
Interview questions from similar companies
Selected
I applied via Naukri.com and was interviewed in Aug 2024. There were 2 interview rounds.
(2 Questions)
- Q1. All type of joins with example
- Ans.
Different types of joins in SQL with examples
Inner Join: Returns rows when there is a match in both tables
Left Join: Returns all rows from the left table and the matched rows from the right table
Right Join: Returns all rows from the right table and the matched rows from the left table
Full Outer Join: Returns all rows when there is a match in either table
- Q2. How to handle large spark datasets
- Ans.
Large Spark datasets can be handled by partitioning, caching, optimizing transformations, and tuning resources.
Partitioning data to distribute workload evenly across nodes
Caching frequently accessed data to avoid recomputation
Optimizing transformations to reduce unnecessary processing
Tuning resources like memory allocation and parallelism for optimal performance
(2 Questions)
- Q1. How do you tune sparks configuration setting's to optimize query performance
- Ans.
Spark configuration settings can be tuned to optimize query performance by adjusting parameters like memory allocation, parallelism, and caching.
Increase executor memory and cores to allow for more parallel processing
Adjust shuffle partitions to optimize data shuffling during joins and aggregations
Enable dynamic allocation to scale resources based on workload demands
Utilize caching to store intermediate results and avo...
- Q2. What strategies do you use to handle data skew and partition imbalance in spark
- Ans.
To handle data skew and partition imbalance in Spark, strategies include using salting, bucketing, repartitioning, and optimizing join operations.
Use salting to evenly distribute skewed keys across partitions
Implement bucketing to pre-partition data based on a specific column
Repartition data based on a specific key to balance partitions
Optimize join operations by broadcasting small tables or using partitioning strategi
Skills evaluated in this interview
I applied via Company Website and was interviewed in Sep 2024. There was 1 interview round.
(3 Questions)
- Q1. Big Data fundamentals concepts on rdd, dataframe and datasets.
- Q2. Spark optimization techniques
- Ans.
Spark optimization techniques involve partitioning, caching, and tuning resource allocation.
Partitioning data to distribute workload evenly
Caching frequently accessed data to avoid recomputation
Tuning resource allocation for optimal performance
- Q3. SQL queries on windows function and joins.
Interview Preparation Tips
Skills evaluated in this interview
I applied via Naukri.com and was interviewed in Sep 2024. There were 2 interview rounds.
It was WeCP based test
(2 Questions)
- Q1. Explain Spark Architecture in detail
- Ans.
Spark Architecture is a distributed computing framework that provides high-level APIs for in-memory computing.
Spark Architecture consists of a cluster manager, worker nodes, and a driver program.
It uses Resilient Distributed Datasets (RDDs) for fault-tolerant distributed data processing.
Spark applications run as independent sets of processes on a cluster, coordinated by the SparkContext object.
It supports various data ...
- Q2. Explain higher order function, closure, anonymous function, map, flatmap, tail recursion
- Ans.
Higher order functions, closures, anonymous functions, map, flatmap, and tail recursion are key concepts in functional programming.
Higher order function: Functions that can take other functions as arguments or return functions as results.
Closure: Functions that capture variables from their lexical scope, even when they are called outside that scope.
Anonymous function: Functions without a specified name, often used as a...
Interview Preparation Tips
- SCALA
- Spark
- SQL
Skills evaluated in this interview
TCS Interview FAQs
Some of the top questions asked at the TCS Big Data Engineer interview -
Tell us how to improve this page.
TCS Interviews By Designations
- TCS System Engineer Interview Questions
- TCS Software Developer Interview Questions
- TCS Software Engineer Interview Questions
- TCS Assistant System Engineer Interview Questions
- TCS Assistant System Engineer Trainee Interview Questions
- TCS IT Analyst Interview Questions
- TCS Ninja Interview Questions
- TCS Java Developer Interview Questions
- Show more
TCS Big Data Engineer Interview Process
based on 5 interviews in last 1 year
1 Interview rounds
- Technical Round
People are getting interviews through
Big Data Engineer Interview Questions from Similar Companies
Fast track your campus placements
TCS Big Data Engineer Reviews and Ratings
based on 42 reviews
Rating in categories
|
System Engineer
1.1L
salaries
|  ₹1 L/yr - ₹9 L/yr |
|
IT Analyst
67.7k
salaries
| ₹5.1 L/yr - ₹16 L/yr |
|
AST Consultant
51k
salaries
| ₹8 L/yr - ₹25 L/yr |
|
Assistant System Engineer
31.3k
salaries
| ₹2.2 L/yr - ₹5.6 L/yr |
|
Associate Consultant
28.6k
salaries
| ₹8.9 L/yr - ₹32 L/yr |
Amazon
Wipro
Infosys
Accenture
Calculate your in-hand salary
- Home >
- Interviews >
- TCS Interview Questions >
- TCS Big Data Engineer Interview Questions
