Data Engineer / Analytics Developer

About the Role

Design, build, and deploy automated data pipelines to ingest, transform, and clean complex datasets. Develop and maintain web applications and interfaces, including integration of AI models, using modern frameworks. Execute technical implementation for enterprise SaaS projects and manage system integrations to ensure seamless data flow. Develop high-performance dashboards and manage the end-to-end technical lifecycle, including testing, deployment, and post-launch troubleshooting.

Responsibilities

• Design, build, and deploy automated data pipelines to reduce manual processing and improve system performance.
• Develop and maintain full-stack web applications and interfaces using frameworks like Next.js and Prisma, including integration of AI models.
• Execute technical implementation for enterprise SaaS projects and manage integration of diverse platforms.
• Develop and maintain high-performance dashboards in Tableau and Power BI for accurate data representation 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).

Requirements

• Proficient in Python for scripting and data manipulation.
• Advanced SQL skills, including queries, stored procedures, and data modeling.
• Hands-on experience with full-stack development tools, specifically Next.js and Prisma.
• Experience integrating 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.