Description

Key Responsibilities
• Integrate structured and unstructured data sources into VESSEL.
• Design and implement data ingestion pipelines.
• Create vectorized data repositories for AI applications.
• Develop semantic search and knowledge retrieval frameworks.
• Build data services supporting AI agents and prompt engineering.
• Design scalable cloud-native data platforms.
• Optimize data quality, governance, and performance.
Required Skills
• 10+ years of experience in Data Engineering.
• Strong expertise in Python, Spark, SQL, and data processing frameworks.
• Experience building cloud-native data pipelines.
• Deep understanding of vector databases and embeddings.
• Experience with Retrieval-Augmented Generation (RAG).
• Knowledge of Agentic AI architectures.
• Experience designing metadata-driven data solutions.
Preferred Skills
• Experience with Azure OpenAI, Vertex AI, LangChain, or similar frameworks.
• Knowledge of MCP (Model Context Protocol).
• Automotive, engineering, or manufacturing data experience

Top Skills:
Data Engineering
Python, Spark, SQL, and data processing frameworks
Agentic AI, RAG

Key Skills

Education

Bachelor's degree