Related skills
bigquery looker sql python tableauπ Description
- Create and maintain data pipelines for analytics, modeling, and experiments
- Design scalable database architectures for large data volumes
- Partner with data science and engineering to improve instrumentation
- Build data quality audits and anomaly detection
- Improve ETL performance, cost, and reliability
- Create dashboards and self-serve analytics for teams
π― Requirements
- 4+ years building data pipelines in production with high volumes
- 4+ years designing and maintaining robust data models
- 4+ years writing SQL and Python
- Experience implementing and monitoring data quality audits
- Improve ETL and dashboard performance and cost
- Strong communication and stakeholder management
π Benefits
- Discord passion: active user or gamer community knowledge
- Data architecture expertise: scalable data models
- Modern data stack: BigQuery, Airflow, DBT
- BI tools: Looker or Tableau
- Experimentation infrastructure: AB testing at scale
- Cross-functional collaboration with compliance and legal
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