Key Responsibilities
- Design and build the BigQuery data warehouse across raw, curated and reporting datasets
- Build and maintain ETL/ELT pipelines using GCP-native tools (e.g. Dataflow, Cloud Composer, Cloud Functions) to move data into BigQuery
- Implement row-level security and access controls within BigQuery
- Develop the Python (FastAPI) backend API on Cloud Run that serves the reporting layer
- Integrate GCP Gemini for natural-language-to-SQL (text-to-query), optimizing for token efficiency and cost
- Implement file archival / retrieval for historical sales order search
- Build toward an agentic AI framework — churn analysis, anomaly detection, escalation management
- Design, develop and deploy the React web application
- Deploy and manage application services on GCP — Cloud Run, Artifact Registry, and related deployment pipelines
- Build ReactJS, ChartJS dashboards connected to BigQuery, where used alongside or instead of the React app
- Design an intuitive interface for the natural-language query assistant




- Ensure the UI correctly reflects row-level security / access permissions per user
- Integrate with the Python FastAPI backend endpoints

Required Skills
- 3–5 years of experience working with GCP, ReactJS and Python
- Strong SQL and data modelling experience on BigQuery or an equivalent cloud data warehouse
- Experience building ETL/ELT pipelines using GCP-native tools (Dataflow, Cloud Composer, Cloud Functions, or similar)
- Python backend development (FastAPI or similar) and REST API design
- Experience with core GCP services: BigQuery, Cloud Run, IAM, Secret Manager
- Hands-on experience deploying and managing applications on GCP — Cloud Run, Artifact Registry, IAM, and related deployment services
- Understanding of row-level security and data governance patterns
- Robust React development experience — hooks, state management, component design
- Experience connecting BI tools (Power BI and/or Tableau) to cloud data warehouses, BigQuery preferred
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📌 GCP / ReactJS / Python Developer (Mumbai City)
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📍 Mumbai City