Data Engineer, Places
Core
Build and maintain data pipelines for place and location-related data, handling noisy real-world signals and large geospatial datasets to improve quality and reliability.
Role type
Data Engineer (Geospatial/Places)
Builds
Production data pipelines, derived datasets, and experiments integrated with backend systems.
Domain
Geospatial data, local search, mobility
Deliverable
production ML models | product features
Required skills
Python, SQL, PySpark, Spark SQL, Spark Streaming, Parquet, Iceberg, geospatial data processing, place matching, data quality measurement, experimentation
Preferred skills
Flink, Rust, ranking, recommendations, embeddings, entity resolution, maps, POI data
Technologies
Python, SQL, PySpark, Spark SQL, Spark Streaming, Parquet, Iceberg, Flink, Rust
Responsibilities
Build pipelines for place and location-related data; Work with noisy real-world signals and large geospatial datasets; Improve quality, reliability, and observability of derived datasets; Define metrics and feedback loops for data quality and attribution; Prototype in Python, SQL, notebooks, or similar tools; Integrate scoped production experiments with backend systems; Run offline evaluations and A/B tests where relevant.
