Overview
We are seeking a Data Engineer to design, build, and maintain scalable data pipelines and cloud-based data platforms that support business intelligence, analytics, and data-driven decision making. The ideal candidate has hands-on experience with GCP technologies, strong programming and SQL skills, and experience working with large-scale retail data environments.

Responsibilities

• Design, develop, and maintain scalable ETL/ELT pipelines and cloud-based data platforms.
• Ingest, transform, and manage high-volume retail data, including POS, e-commerce, inventory, and customer data.
• Optimize data workflows, storage, and processing performance for reliability and cost efficiency.
• Collaborate with business analysts and data teams to deliver analytics-ready datasets and reporting solutions.

Requirements

• 3-5 years of Data Engineering experience.
• Strong experience with ETL/ELT development, data warehousing, and data platform management.
• Hands-on experience with GCP (BigQuery, Dataflow, Cloud Storage) preferred; AWS or Azure experience also considered.
• Proficient in SQL, Python/PySpark, and data modeling.
• Retail industry experience with sales, inventory, supply chain, or customer data is highly preferred.
• Fluent in English, Cantonese, and Mandarin.