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bigquery looker snowflake sql python📋 Description
- Design and implement robust dimensional and relational data models for analytics.
- Build and maintain scalable dbt transformation pipelines with quality and cost-efficiency.
- Transform and model curated Silver/Gold datasets with clear contracts and traceability.
- Collaborate with analysts, data scientists, and stakeholders to deliver data products.
- Implement data quality tests, monitoring, SLAs, and alerting for critical datasets.
- Establish analytics engineering best practices, including version control and documentation.
🎯 Requirements
- Minimum 5+ years in analytics engineering, data modeling, or similar roles.
- Expert-level SQL skills with deep query optimization and performance tuning.
- Extensive experience with dbt including testing, documentation, and package management.
- Strong programming skills in Python for data manipulation and automation.
- Strong understanding of dimensional modeling, star schemas, and related methodologies.
- Experience with modern cloud data warehouses (Snowflake, BigQuery, Redshift, Databricks).
🎁 Benefits
- Competitive pay and benefits.
- Medical, dental, vision, life and disability insurance (US 100% paid). Canadian options available.
- 401(k) with company matching (US) and RRSP with DPSP (Canada).
- Employee Assistance Program (EAP) for mental wellness.
- Flexible PTO and 12 company-wide holidays.
- Equipment, tools, and reimbursement support for a productive remote environment.
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