Related skills
bigquery looker etl sql pythonπ Description
- Design and implement end-to-end data solutions for analytics and insights.
- Develop and maintain production-grade SQL and Python for data transformation.
- Champion data quality and reliability across core datasets.
- Collaborate with stakeholders to translate requirements into scalable solutions.
- Continuously learn and adapt to emerging data technologies and practices.
π― Requirements
- Proven experience building end-to-end data pipelines (ETL/ELT) using Python and orchestration.
- Hands-on experience designing dashboards that influence decisions; Looker preferred.
- Track record of collaboration in small, cross-functional teams.
- Learning agility with cloud platforms (GCP preferred) and AI tooling.
- Strong problem-solving and business acumen to translate needs into data solutions.
π Benefits
- Global mission with a diverse, talented community.
- Impactful work and fast learning in a growth-focused environment.
- Competitive cash compensation.
- Flexible hybrid schedule; Montreal office Thursdays.
- Generous time-off: 30 days + 2 emergency/sick days + holidays.
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