Lead Data Engineer
Lead Data Engineer with Agentic AI experience
Core must-haves (screen for these explicitly)
Core must-haves (screen for these explicitly)
- Applied Agentic AI engineering experience: evidence of building Agentic workflows - ideally delivered into a real project.
- Modern multi-agent architecture experience: hands-on designing/implementing systems where multiple AI Agents collaborate.
- Strong understanding of agentic frameworks/tools: candidates must be able to name the frameworks used, explain why chosen, and describe components.
- Protocols knowledge with practical relevance: working knowledge (preferably applied) of MCP, A2A, ACPand ability to explain how they're used in real-world AI Agent systems.
- Architecture & design contribution capability: candidate should be able to contribute to solution architecture, discuss trade-offs/pros-cons, and guide design decisions for agentic systems.
- Proficiency in google bigquery for data warehousing and analytics.
- Strong sql skills for querying and managing large datasets.
- Advanced knowledge of python programming language for data manipulation and analysis.
- Experience with google dataflow for real-time data processing and etl pipelines.
- Strong problem-solving and analytical skills.
- Excellent communication and leadership abilities to effectively lead a technical team.
