Recruiting Analytics Data Engineer

Skills

About the Role

You will build and maintain the data infrastructure for recruiting analytics. You will design scalable architectures and data models, develop and monitor ETL and ELT pipelines, protect sensitive candidate data, and create accessible semantic layers and standardized recruiting metrics.

Requirements

• BigQuery expertise, including optimization and partitioning
• Dimensional modeling knowledge
• Understanding of slowly changing dimensions
• SQL proficiency
• Python proficiency
• dbt proficiency
• Fivetran proficiency
• Experience implementing cloud-warehouse security and privacy controls
• Ability to translate HR concepts into data models
• Ability to communicate with technical and business stakeholders

Responsibilities

• Refactor and optimize BigQuery tables
• Design scalable data architectures and dimensional models
• Implement data governance, lineage tracking, quality monitoring, and alerting
• Ensure data access controls for sensitive candidate data
• Build and maintain dbt and BigQuery ETL and ELT pipelines
• Create reliable real-time and batch data flows
• Automate data-quality checks and validation
• Develop semantic layers and documentation
• Build standardized recruiting data products and metrics
• Partner with stakeholders to build scalable data models

Benefits

• Optional equity donation matching
• Generous vacation
• Generous parental leave
• Flexible working hours