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I applied via Campus Placement and was interviewed before Jul 2022. There were 3 interview rounds.
Two easy DS questions, arrays and vector stuff, I used c++
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I applied via Campus Placement and was interviewed before Jul 2021. There were 3 interview rounds.
In this round we have aptitude plus coding mcq questions
Here we have to write full fledge code 2 questions were there and are easy
I applied via Campus Placement and was interviewed before Jan 2021. There were 4 interview rounds.
I have worked on various technologies including Hadoop, Spark, SQL, Python, and AWS.
Experience with Hadoop and Spark for big data processing
Proficient in SQL for data querying and manipulation
Skilled in Python for data analysis and scripting
Familiarity with AWS services such as S3, EC2, and EMR
Knowledge of data warehousing and ETL processes
I applied via Walk-in and was interviewed before Feb 2020. There was 1 interview round.
I applied via Referral and was interviewed before Jun 2021. There were 2 interview rounds.
Spark has a master-slave architecture with a cluster manager and worker nodes.
Spark has a driver program that communicates with a cluster manager to allocate resources and schedule tasks.
The cluster manager can be standalone, Mesos, or YARN.
Worker nodes execute tasks and store data in memory or on disk.
Spark can also utilize external data sources like Hadoop Distributed File System (HDFS) or Amazon S3.
Spark supports va...
I applied via Naukri.com
I have worked on various AWS services including S3, EC2, Lambda, Glue, and Redshift.
S3 - Used for storing and retrieving data
EC2 - Used for running virtual servers
Lambda - Used for serverless computing
Glue - Used for ETL (Extract, Transform, Load) processes
Redshift - Used for data warehousing and analytics
I applied via Naukri.com and was interviewed in Jan 2024. There was 1 interview round.
I applied via Approached by Company and was interviewed in Nov 2023. There were 2 interview rounds.
Worked on ETL projects involving data extraction, transformation, and loading using SQL proficiency.
Developed ETL pipelines to extract data from various sources such as databases, APIs, and flat files
Transformed the extracted data using SQL queries to meet business requirements
Loaded the transformed data into a data warehouse or other target systems
Optimized SQL queries for performance and efficiency
Collaborated with c...
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