Data Engineer

Responsibilities

• Design, build, and maintain ETL/ELT pipelines to move and transform data from various sources into our data warehouse
• Develop and optimize data models to support analytics and business intelligence
• Build and manage data warehouse layers including Staging, Core/Foundation, and Business layers
• Implement scalable and efficient SQL transformations for large datasets
• Collaborate with product, marketing, and analytics teams to define data requirements and ensure data quality
• Design and implement attribution models (e.g., last-click, multi-touch) within the data warehouse
• Ensure data accuracy and consistency across marketing and product analytics

Requirements

• 3+ years of experience as a Data Engineer or in a similar role
• Hands-on experience with modern data warehouses such as BigQuery, Snowflake, or Redshift
• Strong SQL skills, with a focus on data transformation, modeling, and analysis
• Proven experience building ETL/ELT pipelines
• Solid understanding of data modeling techniques (e.g., star schema, dimensional modeling)
• Experience designing data warehouse architectures
• Strong understanding of attribution models and how to implement them in a data environment
• Ability to translate business needs into scalable data solutions

Preferred Qualifications

• Experience working with marketing or growth data
• Familiarity with tools like dbt, Airflow, or similar
• Experience in fast-paced startup environments

Benefits

• Comprehensive medical insurance plans
• Monthly Self Care/Wellness Fund ($100)
• Monthly Mental Health Fund ($150) for therapy or coaching
• Paid Time Off based on region
• Yearly company retreats
• Stock options or profit sharing opportunities

About the Company

Nas.com is building Shopify for the AI era: a platform that helps net-new entrepreneurs find customers and sell online. We are an AI-first business platform used by over 16,000 entrepreneurs, growing rapidly and backed by leading Silicon Valley VCs. Based in Singapore, we are entering a critical scale phase and treat our employees as true owners of the company.