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Data and AI Engineer Skills & Requirements — What Employers Want | NeverHard

Skills required for Data and AI Engineer roles, ranked from 3 real job postings. Top skills: Data Engineering, AI/ML, Generative AI, GKE, Spark. Free skill gap analysis on NeverHard.

Skill gap analysis for Data and AI Engineer — based on 3 job postings.

Skills employers require

1. Data Engineering
2. AI/ML
3. Generative AI
4. GKE
5. Spark
6. RAG
7. Vector Search
8. PySpark
9. LLMs
10. Databricks
11. Software Engineering
12. Delta

Recent openings

• Data and AI Engineer — Scotiabank, Toronto, Ontario
• Data and AI Engineer — Scotiabank, Toronto, Ontario
• Sr Data and AI Engineer — Sanofi, Toronto, Ontario