Data Engineer, Places

About this job

What You’ll Do 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 amo’s backend systems. Run offline evaluations and A/B tests where relevant. Must Have Strong Python and SQL. Production experience with Python or Scala. Experience with PySpark, Spark SQL, Spark Streaming, Parquet, and Iceberg. Experience with large datasets and data pipelines. Experience with geospatial data, POI datasets, place matching, or similar real-world entity data.…

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