Data Engineer, eCommerce x2
Role details
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Tech stack
Job description
We are seeking a Data Engineer with deep expertise in Google Cloud Platform (GCP), BigQuery, and SQL, along with experience supporting eCommerce data ecosystems.
This role will focus on building scalable, high-performance data pipelines and models that power analytics, customer insights, and business-critical decision-making across digital commerce platforms. The ideal candidate brings a strong engineering mindset, hands-on development experience, and a solid understanding of eCommerce data such as transactions, customer behavior, and digital interactions., * Design, develop, and optimize data pipelines and ELT processes using BigQuery and GCP services
- Write and tune complex, high-performance SQL queries across large-scale datasets
- Build and maintain data models to support reporting, analytics, and business intelligence
- Ingest and transform data from eCommerce platforms (orders, customers, product catalogs, clickstream data)
- Partner with product, analytics, and business teams to translate requirements into scalable data solutions
- Ensure data quality, governance, and reliability across the data ecosystem
- Optimize performance and cost efficiency within BigQuery and GCP environments
Requirements
- 4+ years of experience in Data Engineering
- Strong hands-on experience with BigQuery
- Advanced proficiency in SQL (complex joins, window functions, performance tuning)
- Experience working within Google Cloud Platform (GCP)
- Experience supporting eCommerce or digital platforms (transactions, customer data, clickstream, etc.)
- Strong understanding of data modeling, ETL/ELT, and large-scale data processing, * Experience with Python for data processing or automation
- Familiarity with data orchestration tools (e.g., Airflow)
- Experience with streaming data or real-time processing
- Exposure to analytics tools (Looker, Tableau, etc.)
- Background in high-growth or enterprise-scale digital environments, * Strong ownership mindset with the ability to build and scale data solutions end-to-end
- Ability to work in fast-paced, data-driven environments (especially eCommerce)
- Engineers who understand both data infrastructure and business impact
- Effective communicators who can collaborate across technical and non-technical teams