My Data Engineer Interview Experience
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I recently interviewed for a Data Engineer role and wanted to share some of the topics and questions I came across. Hopefully, this helps anyone preparing for similar roles!
🔹 Python / Programming
Difference between list, tuple, and set in Python
How Python handles memory management and garbage collection
Multithreading vs multiprocessing in Python
Writing efficient Pandas operations for large datasets
🔹 SQL & Databases
Write a query to find the nth highest salary in an Employee table
Difference between OLTP and OLAP systems
How indexes work in relational databases and when to use them
Partitioning vs sharding in large datasets
🔹 Big Data & ETL
Difference between batch and streaming data pipelines
Kafka vs Kinesis: when to use each
How Spark optimizes jobs under the hood (RDD, DataFrame, Catalyst optimizer)
Best practices for building resilient ETL pipelines
🔹 Cloud & Data Warehousing
Snowflake vs Redshift vs BigQuery: key differences
How to design a data lake vs a data warehouse
Role of IAM and data security in cloud environments
How orchestration works with Apache Airflow
🔹 Coding Round
Reverse words in a string without using built-in functions
Implement a Kafka producer-consumer in Python
Write an Airflow DAG for a daily ETL job
Find duplicates in a dataset efficiently
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Hope this helps anyone preparing for their Data Engineer interviews!
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