Junior Data Engineer

Description

Job Summary: We are seeking a professional to support the construction and maintenance of data pipelines, prepare datasets for GenAI, and execute prompt testing. Key Highlights: 1. Opportunity in GenAI projects 2. Focus on automation and MLOps 3. Data pipeline development Description: * 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 best practices in data engineering. Academic Background: * Currently pursuing or completed undergraduate degree in Computer Science, Engineering, Information Systems, Systems Analysis and Development, or related fields. Responsibilities and Duties: * Support the construction, maintenance, and evolution of data pipelines and data flows. * Prepare datasets and inputs for model testing and GenAI experiments. * Execute prompt testing, interaction flow testing, and technical evaluations in PoCs. * Create reports for performance tracking and deliverables monitoring. * Contribute to technical documentation, versioning, and organization of deliverables. Requirements and Qualifications: * Initial experience with Python and data manipulation. * Familiarity with generative AI concepts and data pipelines. * Basic understanding of database integration (SQL and/or NoSQL). * Fundamental knowledge of cloud environments (AWS preferred). * Strong communication and organizational skills to support rapid, well-documented deliveries. * Proficiency in productivity and collaboration tools. 2512100202181912064