Key skills
AirflowAWSAzureBigQueryCloudGoogle Cloud PlatformPythonSQLAIMLAgenticAnalyticsGCPGoogle Cloudcomposer
About this role
Role Overview
- Design, build, and operate data pipelines that process terabytes of transactional data daily using Airflow/Composer and BigQuery
- Own end-to-end data models and transformations that power merchant analytics
- Build and maintain embedded analytics infrastructure
- Evolve data platform on GCP, including BigQuery, Cloud SQL, AlloyDB, and CDC datastreams
- Improve data quality and reliability through testing, observability, alerting, and validation frameworks
- Own data lineage, metadata, and documentation
- Collaborate cross-functionally with product, ML, and GTM teams
Requirements
- 5–8 years of experience building and operating production data systems
- Strong SQL skills
- Proficient in Python
- Comfortable building and maintaining APIs
- Experience with modern data stacks on cloud platforms (GCP preferred, but AWS or Azure transfers well)
- Understand data modeling deeply
- Treat data quality, lineage, and observability as first-class engineering concerns
- Communicate clearly with technical and non-technical stakeholders
- Experience using AI and agentic coding tools as a core part of work
Tech Stack
- Airflow
- AWS
- Azure
- BigQuery
- Cloud
- Google Cloud Platform
- Python
- SQL