Data Platform Engineer
Beatdapp · Technology
unknown
Salary Range (USD)
Negotiable
Location
Vancouver, Canada
Visa Support
Not mentioned
Funding Stage
venture-backed
Job Responsibilities
- • Help build and own ML recommendation systems
- • K8s cluster management
- • Data pipelines and processing systems
- • Live inference APIs
- • Work on organization ML platform and shared engineering systems
- • Participate in multiple projects based on interest and opportunity
Required Skills
GCPBigQueryGCSPub/SubGKEAirflowPythonRedisBigtableKubernetes
Engineering Culture & Tech Stack
GCPBigQueryGCSPub/SubGKEAirflowPythonRedisBigtable
ownership
collaborative
low-ego
autonomy
Raw Post
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Beatdapp | Data Platform Engineer | Vancouver, Canada | ONSITE (Hybrid) | Full-time
Beatdapp is a ~50-person venture-backed startup that helps music streaming platforms detect and eliminate fraud. We process data at TB/PB scale to protect the royalty ecosystem and power clean, authentic recommendations.
We're looking for a Data Platform Engineer to help build and own our ML recommendation systems. This includes K8s cluster management, data pipelines and processing systems, and live inference APIs. You'll have the opportunity to work on our organization ML platform and shared engineering systems as well. It's a tight-knit team where people typically work on multiple projects based on interest and opportunity.
Stack: GCP (BigQuery, GCS, Pub/Sub), GKE, Airflow, Python, Redis, Bigtable.
The team is collaborative, and low-ego. Lots of people interested in tabletop games and video games.
Full posting: https://beatdapp.breezy.hr/p/c031b5e1efd1-data-platform-engi...
Or reach me directly: kevin [at] beatdapp.com
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