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
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
