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I applied via Campus Placement and was interviewed in Nov 2024. There were 3 interview rounds.
I applied via Walk-in and was interviewed before Feb 2020. There was 1 interview round.
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 Campus Placement and was interviewed before Jul 2021. There were 3 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 Referral and was interviewed before Jun 2021. There were 2 interview rounds.
I applied via Approached by Company and was interviewed in Nov 2023. There were 2 interview rounds.
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