Data Engineer - AI
TLDR
Build data pipelines and analytics tools leveraging SQL, dimensional modeling, data integration, governance, and foundational Generative AI.
We need a self-driven, curious, and adaptable individual who quickly picks up new tools and delivers outcomes. Strong SQL proficiency is a must, along with an excellent understanding of dimensional modeling, data integration, data securit/ governance, and a foundational understanding of Generative AI. Below are the basic skill expectations:
- Very Strong SQL skills for data extraction, transformation, and metric creation.
- Working understanding of data modeling concepts (dimensions, facts, hierarchies).
- Knowledge of data validation and profiling principles.
- Should be able to work on system integrations with various external tools - AD, Jira, Service Now etc.
- Eagerness to learn new technologies quickly.
- Foundational understanding of Generative AI models, LLMs, MCP and prompt engineering.
- Exposure to APIs, basic Python or scripting for automation.
- Good communication and analytical thinking skills.
- Collaborative mindset focused on helping the broader team succeed.
- Good to have: Understanding of document stores (e.g., MongoDB)
NucleusTeq builds advanced technology solutions focused on Data Engineering, Cloud, AI, and Digital Transformation, partnering with Fortune 1000 enterprises to modernize their operations. What sets us apart is our innovative product, NuoData, which provides AI-driven analytics and supports enterprise data modernization. We’re not just about technology; we’re about delivering measurable business outcomes that empower our clients to innovate and grow.