About The Position

This role focuses on developing and automating data pipelines, building full-stack web applications with AI integration, integrating enterprise SaaS platforms, and creating high-performance data visualizations. The position involves managing the entire technical lifecycle of projects, from development and testing to deployment and post-launch support.

Requirements

  • Proficient in Python (for scripting/data manipulation) and SQL (advanced queries, stored procedures, data modeling).
  • Hands-on experience with full-stack development tools, specifically Next.js, Prisma, and integration with LLMs (e.g., Google Gemini).
  • Expert-level knowledge of advanced Excel (Power Query/Pivot) and building automated ETL workflows.
  • Proficient in Tableau and Power BI for dashboard development and visual analytics.

Responsibilities

  • Design, build, and deploy automated data pipelines to ingest, transform, and clean complex datasets.
  • Utilize Python and SQL to reduce manual processing and improve system performance.
  • Develop and maintain web applications and interfaces, including the integration of AI models, using modern frameworks like Next.js and Prisma.
  • Execute technical implementation for enterprise SaaS projects.
  • Manage the integration of diverse platforms to ensure seamless data flow and functionality.
  • Develop and maintain high-performance dashboards in Tableau and Power BI, ensuring accurate representation of operational data and real-time performance tracking.
  • Manage the end-to-end technical lifecycle, including user-acceptance testing, system cutover, production deployment, and post-launch troubleshooting (Hypercare).
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