Data Engineering Top Interview Question.pdf

#dataengineering

How to become a data analyst/engineer -

Practice these daily:

➡️ SQL
➡️ Excel
➡️ Python
➡️ Power BI
➡️ ETL/ELT
➡️ Power Query
➡️ Data modelling
➡️ Data warehouse
➡️ Exception handling
➡️ Logging + debugging

#DataEngineering

🚀 SQL Essentials for Data Engineers:

Joins & Subqueries – Master INNER, LEFT, RIGHT, CROSS joins.

Window Functions – Use ROW_NUMBER(), RANK(), LAG() for analytics.

CTEs & Temp Tables – Write cleaner queries with WITH.

Performance Tuning – Optimize with indexes & execution plans.

ACID Transactions – Ensure consistency with COMMIT & ROLLBACK.

Normalization – Balance efficiency with normal vs. denormal forms.

Master these, and you're golden! 💡

#SQL #DataEngineering

Complete Data Engineering Roadmap to keep yourself in the hunt in job market.

1. I will Learn SQL
--variables, data types, Aggregate functions
-- Various joins, data analysis
-- data wrangling, operators like(union, intersect etc.)
--Advanced SQL(Regex, Having, PIVOT)
--Windowing functions, CTE
--finally performance optimizations.

2. I will learn Python...
-- Basic functions, constructors, Lists, Tuples, Dictionaries
-- Loops (IF, When, FOR), functional programming
-- Libraries like(Pandas, Numpy, scikit-learn etc)

3. Learn distributed computing...
--Hadoop versions/hadoop architecture
--fault tolerance in hadoop
--Read/understand about Mapreduce processing.
--learn optimizations used in mapreduce etc.

4. Learn data ingestion tools...
--Learn Sqoop/ Kafka/NIFi
--Understand their functionality and job running mechanism.

5. i ll Learn data processing/NOSQL....
--Spark architecture/ RDD/Dataframes/datasets.
--lazy evaluation, DAGs/ Lineage graph/optimization techniques
--YARN utilization/ spark streaming etc.

6. Learn data warehousing.....
--Understand how HIve store and process the data
--different File formats/ compression Techniques.
--partitioning/ Bucketing.
--different UDF's available in Hive.
--SCD concepts.
--Ex Hbase. cassandra

7. Learn job Orchestration...
--Learn Airflow/Oozie
--learn about workflow/ CRON etc.

8. Learn Cloud Computing....
--Learn Azure/AWS/ GCP.
--understand the significance of Cloud in #dataengineering
--Learn Azure synapse/Redshift/Big query
--Learn Ingestion tools/pipeline tools like ADF etc.

9. Learn basics of CI/ CD and Linux commands....
--Read about Kubernetes/Docker. And how crucial they are in data.
--Learn about basic commands like copy data/export in Linux.

Data Engineering Interview Preparation Resources: 👇 https://whatsapp.com/channel/0029Vaovs0ZKbYMKXvKRYi3C

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