- Gather and assess product requirements and lead data discovery calls directly with customers
- Prepare data for analysis (normalize, filter, cleanse)
- Use SQL scripts, including complex querying, views, stored procedures to transform data into formats that can be consumed through ETL processes
- Write code that is easy for other engineers to understand and expand on, through technology/library choices, code style (readability), and documentation
- Collaborate with other engineers on interface development, code reviews and implementation designs
- Test, debug and support developed features
- Participate in our ticket tracking system, regular standups and sprint planning
- Participate in product discussions, influence the roadmap, and take ownership and responsibility over new projects to make them happen
- BS or MS in Computer Science or equivalent experience
- 2+ years of industry experience on data engineering projects
- Experience with SQL, Python
- Working knowledge of Data Warehouses like Redshift, Snowflake, Databricks
- Experience with data analysis using machine learning is a plus
- Familiarity with AWS cloud services, Docker, EKS/Containers is a plus
- Located in or is willing to relocate to Vancouver, Canada
- Canadian work authorization required
- Dental care
- Extended health care
- Flexible schedule
- Paid time off
- Vision care
- Monday to Friday
- Vancouver, BC: reliably commute or plan to relocate before starting work (required)
- SQL: 1 year (required)
- Python: 1 year (required)
Company
Location
Vancouver - Canada
Job type
Full-Time
Python Job Details
About This Role: We are looking for a data engineer to join a motivated team building a SaaS enterprise platform from the ground up. You will be working directly with the CTO and head of Data Science to architect a solution that meets our customer requirements, design, develop, and deploy code, and help drive successful development practices as an early engineer.
Job Description:
Requirements:
Job Type: Full-time
Pay: $75,000.00-$95,000.00 per year
Benefits:
Schedule:
Ability to commute/relocate:
Experience:
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