DataFramed
#295 How To Get Hired As A Data Or AI Engineer with Deepak Goyal, CEO & Founder at Azurelib Academy
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.
51:49
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Quick takeaways
- Data engineering is foundational for AI, requiring data ingestion, cleaning, and transformation to enable actionable insights and predictions.
- Proficiency in Python and SQL is crucial for data engineers, serving as the backbone for data manipulation and analysis in the field.
Deep dives
The Role of Data Engineering in AI
Data engineering is essential for supporting upcoming AI technologies by providing high-quality data infrastructure. This role involves data ingestion, cleaning, processing, and transforming information into usable formats for analysis and decision-making. Data engineers create the foundational systems upon which AI engineers build their applications, effectively preparing the environment for generating insights and predictions. The importance of data engineering is emphasized, as organizations recognize the necessity of investing in data capabilities to optimize AI functionality.
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