We are looking for a skilled Data Engineer to design, optimize, and maintain the data architecture that powers our BI environment. This role focuses on building scalable BigQuery datamarts, optimizing data models, and ensuring reliable data pipelines to support analytics and reporting.
The ideal candidate has strong experience in cloud data warehousing, data modeling, and building analytics-ready datasets that enable efficient BI consumption.
Key Responsibilities
Data Architecture & Engineering
Design, build, and maintain BigQuery datamarts and analytical tables for BI reporting
Develop scalable data models (star schema, snowflake, or denormalized) optimized for analytics workloads
Optimize query performance and storage efficiency within cloud data warehouses
Collaborate with BI teams to ensure datasets align with semantic models and dashboards
Data Pipeline & Transformation
Build and maintain data pipelines for data ingestion, transformation, and loading into analytics environments
Implement transformation workflows using SQL or frameworks such as dbt
Ensure data quality, validation, and consistency across datasets
Data Governance & Performance
Maintain data standards, naming conventions, and proper documentation
Implement governance practices, including schema management and version control
Monitor and troubleshoot pipeline failures and data inconsistencies
Collaboration with BI
Work closely with BI specialists to ensure datasets support semantic layer requirements
Deliver optimized datasets that minimize the need for heavy transformations within BI tools
Required Qualifications
3+ years of experience in Data Engineering or Analytics Engineering
Strong SQL expertise for analytical workloads
Experience with cloud data warehouses (BigQuery, Redshift, Snowflake, or similar)
Proven experience in designing star schema or dimensional data models
Experience building analytics-ready datamarts
Preferred Qualifications
Experience with dbt or similar data transformation frameworks
Familiarity with Git-based workflows and CI/CD for data pipelines
Experience working with BI tools such as Looker, Tableau, or Power BI
Background in retail or multi-location data environments
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