Job Responsibilities:
- Develop and maintain a relational database architecture optimized for engineering and manufacturing data.
- Build and maintain data ingestion pipelines to collect, clean and structure data from multiple internal sources.
- Design and implement an AI-powered natural language interface to query relational databases.
Qualifications & Requirements:
- Background in data science, AI, software engineering or related fields.
- Strong programming skills in Python.
- Experience with database design and management (SQL or similar).
- Experience building data pipelines and ETL workflows.
- Familiarity with AI frameworks.
- Experience building backend services.
- Understanding of data security, authentication and access control mechanisms.
- Good written and spoken English.
Basic Qualifications:
- Experience in data engineering and backend development.
- Experience working with structured and unstructured data.
- Familiarity with cloud platforms and AI services.
- Ability to design scalable and maintainable software systems.
Plus:
- Experience in AI application development.
- Experience with data visualization tools (Power BI or similar).
- Experience working with engineering, manufacturing or R&D datasets.
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