Data Engineer contributing to data pipeline development and GenAI experiments at a technology consulting firm. Collaborating on data visualization, automation, and documentation efforts for data projects.
Responsibilities
Support the construction, maintenance, and evolution of data pipelines and data flows.
Prepare datasets and inputs for model testing and GenAI experiments.
Execute prompt tests, interaction flows, and technical evaluations in PoCs.
Create reports to monitor performance and track deliveries.
Contribute to technical documentation, version control, and organization of deliverables.
Requirements
Advanced English – required.
Prior experience (even introductory) with LangChain, LlamaIndex, or similar frameworks.
Experience in academic, personal, or professional projects related to GenAI.
Basic knowledge of data visualization (Power BI, Tableau, Looker, etc.).
Interest in automation, MLOps, and data engineering best practices.
Degree in progress or completed in Computer Science, Engineering, Information Systems, Systems Analysis and Development, or related fields.
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