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I applied via Approached by Company and was interviewed in Jun 2022. There were 2 interview rounds.
Design and code a scheduler for allocating meeting rooms based on input of room counts and timestamps.
Create a table with columns for room number, start time, and end time
Use SQL queries to check for available slots and allocate rooms
Consider edge cases such as overlapping meetings and room availability
Use a loop to continuously check for available slots and allocate rooms
Implement error handling for invalid input
I applied via LinkedIn and was interviewed in Sep 2024. There were 2 interview rounds.
Based on python and sql
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I applied via Approached by Company and was interviewed in Jun 2024. There was 1 interview round.
For processing 10TB of file in Spark, consider allocating multiple executors with sufficient cores to maximize parallel processing.
Allocate multiple executors to handle the large file size efficiently
Determine the optimal number of cores per executor based on the available resources and workload
Consider the memory requirements for each executor to avoid out-of-memory errors
Adjust the configuration based on the specific...
I appeared for an interview before May 2024, where I was asked the following questions.
Data pipeline failures can disrupt data flow; understanding causes and solutions is crucial for performance and reliability.
Monitoring and Alerts: Implement monitoring tools like Apache Airflow or AWS CloudWatch to detect failures in real-time.
Data Validation: Use schema validation (e.g., Apache Avro) to ensure data integrity before processing, preventing downstream errors.
Retry Mechanisms: Implement retry logic for tr...
I applied via Approached by Company and was interviewed before Jan 2022. There were 4 interview rounds.
I applied via Recruitment Consulltant and was interviewed before Feb 2023. There was 1 interview round.
SQL, Spark, Hive, Python
Collections are essential for efficient data manipulation in Python. A strong grasp of collections is crucial for a data engineer.
Familiarity with lists, tuples, sets, and dictionaries
Understanding of when to use each collection type
Ability to manipulate and iterate through collections
Knowledge of built-in collection methods and functions
Experience with third-party collection libraries like NumPy and Pandas
based on 9 interview experiences
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