Backed by SOSV.
About the role
The Data Engineer in will own the design, implementation, and scaling of our analytics infrastructure to form the foundation of a cohesive analytics ecosystem. This role also empowers analytics engineers and data scientists to follow DataOps best practices to independently create metrics. Additionally, the Data Engineer will interface with the application database team to synergistically improve the overall cloud ecosystem, enabling scalable ways to share large volumes of data with clients.
What they're looking for
- Bachelor's or master's degree in Computer Science or related field highly recommended, not required
- 5+ years of experience with SQL, BigQuery, Terraform, Apache Beam, Airflow, and GCP
- Hands-on expertise with dbt and event-driven analytics highly desirable
- Proven experience implementing and owning data warehouses end-to-end
- Track record of data modeling for analytical use cases
- Background empowering peers through DataOps best practices
More about this role
San Francisco Bay Area (Hybrid — Burlingame office 2-3x/week required)
Must currently reside locally; this is not a remote-eligible role.
Simbe Robotics is a leading retail robotics company providing in-store intelligence solutions that help retailers optimize operations, improve shelf execution, and deliver valuable data insights. Our autonomous robots and multi-modal data collection systems are transforming how retailers manage inventory and make data-driven decisions.
The Data Engineer in will own the design, implementation, and scaling of our analytics infrastructure to form the foundation of a cohesive analytics ecosystem. This role also empowers analytics engineers and data scientists to follow DataOps best practices to independently create metrics. Additionally, the Data Engineer will interface with the application database team to synergistically improve the overall cloud ecosystem, enabling scalable ways to share large volumes of data with clients. The ideal candidate will have demonstrable experience implementing data warehouses, a strong foundation in SQL and Python, and a mindset for cloud systems design.
Leveling (Senior or Staff) will be determined through the...
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