Full Stack Developer (AI & Data Visualization Focus)
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Thenielsencompany · Bengaluru, INPrepare for this interview
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Benefits
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End-to-End Development: Design, develop, and maintain scalable full-stack applications using Python (Django/Flask/FastAPI) and modern front-end frameworks (e.g., React, Vue, or Angular). System Architecture: Build and optimize RESTful APIs and microservices to connect data layers with user-facing applications. Data Integration: Develop and manage workflows/pipelines to extract data from cloud tables (SQL, Spark) and integrate them into application features. AI Implementation: Leverage AI techniques and advanced prompting to build "intelligent" features, such as automated summaries, predictive text, or smart search within applications. Data Visualization: Integrate Tableau dashboards or custom JavaScript libraries (D3.js, Chart.js) into applications to provide interactive, "always-on" insights. Database Management: Design and maintain efficient database schemas and handle ETL processes necessary for application performance. Innovation: Stay abreast of emerging full-stack, visualization, and AI tools, continuously optimizing the software development life cycle (SDLC). Collaboration: Support ad-hoc requests and translate technical architecture into layman's terms for business stakeholders. Education: Bachelor degree in Computer Science, Software Engineering, Mathematics, or a related technical field. Experience: 2+ years of experience in Full Stack development, with strong expertise in Python, SQL, and JavaScript Back-end Expertise: Proficiency in Node.js or Python-based frameworks, and experience with PySpark for large-scale data processing. Front-end Expertise: Strong command of HTML5, CSS3, and modern JavaScript frameworks for building responsive user interfaces. AI Mastery: Deep understanding of AI prompting techniques and experience integrating LLMs or machine learning models into production software. Cloud & Data: Hands-on experience with AWS or GCP and a solid understanding of data warehousing and ETL concepts. Visualization: Extensive knowledge of Tableau and the ability to embed complex visualizations into custom web environments. Soft Skills: Excellent communication skills, strategic thinking, and the ability to work independently or collaboratively to solve complex product problems.
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