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How to Succeed in Data Engineering Interviews
Practical advice from Yordan, Head of Data Engineering
Aug 31
•
Yordan Ivanov
and
Erfan Hesami
21
Week 28/31: Behavioural Interview Questions for Data Engineers
How to prepare, structure answers, and impress interviewers with real word examples.
Aug 17
•
Erfan Hesami
15
1
Week 27/31: Data Visualisation for Data Engineers
What Data Engineers need to know about Data Visualisation and Storytelling skills
Aug 3
•
Erfan Hesami
10
Week 26/31: Machine Learning for Data Engineers
How Data and ML Engineers can work together to build robust ML Systems.
Jul 19
•
Erfan Hesami
12
Week 26/31: Data Governance for Data Engineers
What Data Engineers need to know about data goverance
Jul 6
•
Erfan Hesami
18
Week 25/34: System Design for Data Engineering Interviews
What system design means for data engineers and how to prepare for interviews
Jun 30
•
Erfan Hesami
14
Week 24/31: DevOps and DataOps Practices for Data Engineering Interviews
Building trustworthy, observable, and resilient data systems with the right mindset, culture, and tools.
Jun 15
•
Erfan Hesami
19
Week 23/31: Data Contracts for Data Engineering Interviews
From theory to practice, how data contracts transform trust, ownership, and observability across the data engineering lifecycle
Jun 2
•
Erfan Hesami
15
Week 23/31: Real-Time Processing for Data Engineering Interviews
Understanding Real-Time Processing in Data Engineering with a hands-on implementation
May 25
•
Erfan Hesami
19
Week 22/34: Batch Processing for Data Engineering Interviews
Understanding Batch, Micro-Batch, and Near Real-Time Processing in Data Engineering
May 18
•
Erfan Hesami
10
Week 21/34: Open Table Formats for Data Engineering Interviews
What is Open Table Formats and their importance for data engineers
May 11
•
Erfan Hesami
12
Week 20/34: Data Storage Paradigms for Data Engineering Interviews
Understanding Data Storage and its role in Data Engineering
May 6
•
Erfan Hesami
10
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