Data Engineer / Analytics Developer

Pipeline Development & Automation 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.

Full-Stack Development Develop and maintain web applications and interfaces, including the integration of AI models, using modern frameworks like Next.js and Prisma.

System Integration Execute technical implementation for enterprise SaaS projects. Manage the integration of diverse platforms to ensure seamless data flow and functionality.

Visualization Engineering Develop and maintain high-performance dashboards in Tableau and Power BI, ensuring accurate representation of operational data and real-time performance tracking.

Code Implementation & Testing Manage the end-to-end technical lifecycle, including user-acceptance testing, system cutover, production deployment, and post-launch troubleshooting (Hypercare).

Required Technical Qualifications

Programming Proficient in Python (for scripting/data manipulation) and SQL (advanced queries, stored procedures, data modeling).

Web Development Hands-on experience with full-stack development tools, specifically Next.js, Prisma, and integration with LLMs (e.g., Google Gemini).

Data Engineering Expert-level knowledge of advanced Excel (Power Query/Pivot) and building automated ETL workflows.

Visualization Tools Proficient in Tableau and Power BI for dashboard development and visual analytics