About DubaiData

DubaiData is an AI-powered data intelligence platform focused on transforming large-scale structured and unstructured data into intelligent, actionable insights. We build cloud-native data platforms, AI-powered analytics solutions, and scalable data infrastructure that powers our growing suite of data products.

As our platform continues to expand, we are looking for an experienced
Data Engineer

to help build the data foundation that powers our AI applications, analytics platform, and intelligent data products.

Role Overview

The Data Engineer will be responsible for designing, building, and maintaining DubaiData's cloud-native data platform on
Google Cloud Platform (GCP)

. This role involves developing scalable ETL/ELT pipelines, managing large-scale datasets, implementing modern data architectures, and enabling high-quality, analytics-ready data for AI models and business intelligence.

You will work closely with AI Engineers, Product Managers,



and Software Engineers to build reliable data infrastructure that supports both internal operations and customer-facing products.

Key Responsibilities
- Design, build, and maintain scalable ETL/ELT pipelines for ingesting structured and unstructured data from multiple global data sources.
- Develop cloud-native data engineering solutions using Google Cloud Platform services such as BigQuery, Cloud Storage, Dataflow, Cloud Composer, Cloud Run, Pub/Sub, and Dataproc.
- Build and manage scalable data lakes, data warehouses, and modern lakehouse architectures that support AI, analytics, reporting, and product development.
- Implement medallion architecture (Bronze, Silver, and Gold layers) to create clean, governed, and reusable datasets.
- Design effective dimensional data models using Star Schema and Snowflake Schema to support analytical workloads.
- Develop robust Python and SQL-based data processing pipelines for extraction, transformation, validation, and orchestration.
- Integrate data from APIs, dat

📌 Data Platform Engineer (India)
🏢 DubaiData
📍 India