Data Engineer, Places

From the original posting

Paris 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…