Full Stack Engineer Data Analytics Platform

• Design and develop a centralized data cockpit/dashboard integrating multiple enterprise data sources.
• Build modern, responsive frontend applications using Next.js, TypeScript, and Tailwind CSS.
• Develop scalable backend services and APIs using Java and Spring Boot deployed on GCP Cloud Run.
• Create and maintain enterprise BI solutions using Power BI, Microsoft Fabric, and Looker (LookML).
• Develop and support embedded analytics solutions (Looker Embed or similar).
• Design and integrate APIs, data pipelines, and real-time/batch data processing workflows.
• Manage data platforms utilizing PostgreSQL (Cloud SQL), GCS, and Pub/Sub.
• Implement secure enterprise integrations including Okta SSO, Atlassian, and Gemini AI services.
• Collaborate with business stakeholders to deliver impactful analytics and data visualization solutions.

Must-Have Skills Power BI / Microsoft Fabric (Hands-on experience required) Looker & LookML (Required) API Integration & Development (Required) Data Modeling, Data Pipelines & Database Design (Required) Java & Spring Boot Backend Development Next.js, TypeScript, Tailwind CSS Frontend Development PostgreSQL / Cloud SQL Embedded Analytics (Looker Embed or Similar) GCP Cloud Technologies (Cloud Run, GCS, Pub/Sub) Okta SSO & Enterprise Integrations

• Experience building end-to-end analytics platforms or data products.
• Strong background in BI Engineering, Data Engineering, or Data-Centric Full Stack Development.
• Experience in Supply Chain, Manufacturing, or Enterprise environments.
• Exposure to AI integrations such as Google Gemini.