DataFramed #295 How To Get Hired As A Data Or AI Engineer with Deepak Goyal, CEO & Founder at Azurelib Academy
58 snips
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.
AI Snips
Chapters
Transcript
Episode notes
Data Engineering Role
- Data engineers create and maintain data infrastructure, handling data ingestion, cleaning, and processing.
- This prepares data for insights, downstream systems, and, crucially, AI systems.
Data Engineer vs. AI Engineer
- Data engineers build the foundational data platforms, like roads, for AI systems to operate on, like driverless cars.
- They transform raw data into refined insights, creating a playground for AI engineers to utilize.
Essential Data Engineering Skills
- Focus on Python and SQL as foundational skills, as they are used in most data engineering tools.
- Then learn an ETL tool, big data technologies (Hadoop, Spark, PySpark), and cloud data warehousing tools (Snowflake, Databricks).