DataFramed #295 How To Get Hired As A Data Or AI Engineer with Deepak Goyal, CEO & Founder at Azurelib Academy
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Mar 31, 2025 
Deepak Goyal, Founder & CEO of Azurelib Academy, is a leading expert in Cloud Data Engineering and AI with over 17 years of experience. In this engaging discussion, he dives into essential skills for data engineers such as Python and SQL, the importance of soft skills, and effective strategies for career advancement. Deepak also shares insights on navigating the hiring landscape, including interview tips and negotiation tactics. He emphasizes the need for continuous learning and offers practical advice for balancing work and education in a fast-evolving tech world.
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Building a Portfolio
- Build a portfolio showcasing real-world projects, especially if you're new to the field.
- Focus on projects like data lakehouse systems, medallion architecture, and real-time streaming.
Hiring Process Overview
- The typical data engineering hiring process involves an HR screening, technical rounds, a system design round, a behavioral round, and finally, compensation discussion.
- Be prepared for scenario-based questions, technical challenges, and soft skills assessments.
General Interview Tips
- Be genuine, have a strong resume, maintain a learning attitude, and network actively.
- These non-technical aspects can significantly increase your chances of getting hired.