Ignite Insights Webinar - Data Engineering in the AI Age: Skills Companies Actually Want
Date/Time
7/30/2026
3:00 PM - 4:00 PM EST
3:00 PM - 4:00 PM EST
Event Registration
Event Type(s)
Ignite Insights Webinar
Event Description
Data Engineering is no longer just about building pipelines — it is about creating reliable, decision-grade data systems that power businesses and AI applications. This session explores what it truly means to become a modern Data Engineer, the mindset required to succeed, and the real industry expectations companies look for today.
We will cover how Data Engineering differs from traditional Software Engineering, common real-world data challenges, and why correctness, reliability, and systems thinking matter more than ever in the AI era. The session also dives into the essential technical and non-technical skills required for success, including SQL, distributed systems, data quality, scalability, and cross-functional communication.
- The mindset of high-impact Data Engineers
- Industry expectations and hiring realities
- Common mistakes that break data trust
- Skills that actually matter in modern data teams
- How AI is increasing the demand for reliable data systems
- A structured roadmap (SCALE Framework) to grow into a strong Data Engineer
Meet Rashi Raj
Rashi Raj is a Senior Engineering Manager at Oracle Cloud Infrastructure, where she leads globally distributed teams driving large-scale data platforms and distributed systems powering customer-facing cloud services. Her expertise spans AI and ML systems, big data analytics, cloud technologies, microservices, and scalable infrastructure.
Her work focuses on applying AI in practical, operational ways to improve engineering productivity, decision-making, and system reliability at scale. Known for combining technical depth with strong people leadership, Rashi is passionate about mentoring engineers, growing future leaders, and helping teams navigate technology transformation with clarity and impact.
Thursday, July 30, 2026
3:00-4:00 p.m. Eastern Time
Location
Virtual
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