You will
- Develop and implement ETL processes
- Design data warehouse solutions to support ETL processes and data analytics applications
- Write SQL/NoSQL database queries, stored procedures, triggers, user defined functions, analytic functions, etc.
- Own features that you develop end to end, develop and test your code, implement new processes in production, and maintain and support them over time
- Drive our data platform and help evolve our technology stack and development best practices
- Develop and unit test assigned features to meet product requirements
You have
- 7-10 years experience in engineering
- BS in CS or related field or equivalent years of experience
- Strong experience in database technologies and data warehousing
- Strong experience in Python
- Experience with service oriented architecture and good understanding of distributed systems, data stores, data modeling, and indexing (experience with Event Sourcing and/or CQRS preferred)
- Hands on experience developing APIs and SDKs
- Hands on experience with BigQuery, PostgreSQL, and large-scale distributed storage and database systems
- Ability to deal with ambiguity and communicate well with both technical and non-technical teams
Nice to have
- Airflow
- Docker
- Kubernetes
Benefits
- Equity
- Range of Healthcare Plans
- Paid Parental Leave
- Unlimited Vacation
- Flexible Work Schedule
- Compensation Range: $165,000-200,000 / year
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