Data Engineers
Core
Design, build, and optimize scalable data architecture, pipelines, and datamarts to support business intelligence and analytics.
Role type
Senior Data Engineer (Cloud Data Warehousing & Analytics)
Builds
Scalable BigQuery datamarts, analytical tables, and reliable data pipelines
Domain
Cloud data warehousing, analytics engineering, BI
Deliverable
production ML models | product features | dashboards & analysis
Required skills
SQL, cloud data warehousing (BigQuery, Redshift, Snowflake), data modeling (star schema, dimensional), data pipeline development, data quality controls, Git/CI/CD
Preferred skills
dbt, BI platforms (Looker, Tableau, Power BI), retail/multi-location data environments, AI-assisted workflows
Technologies
BigQuery, dbt, Git, CI/CD, SQL
Responsibilities
Design and maintain BigQuery datamarts and analytical tables; Develop scalable data models using star schema and dimensional approaches; Optimize query performance and storage efficiency; Build and maintain data ingestion and transformation pipelines; Implement data validation and quality controls; Collaborate with BI teams to ensure datasets meet semantic-layer requirements
Seniority
Mid-Senior, hands-on IC
