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Data Engineer, Places

amoSocial Networking company
Paris, FranceMid
359 Capital
Abstract Ventures logo
Abstract Ventures
Bpifrance Digital Venture
20VC
Bpifrance logo
Bpifrance
Coatue logo
Coatue
Data & AI

About the role

TL;DR

Build pipelines for place and location data using Python, SQL, and Spark.

  • Amo is seeking a Data Engineer to build pipelines for place and location-related data, working with large geospatial datasets and real-world signals.
  • You will improve data quality, reliability, and observability.
  • Key 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.
  • Requirements 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.
View original posting →

Required skills

PythonSQLSpark

Nice-to-have skills

ScalaRustApache Flink

Benefits & perks

Health care (100% coverage), Maternity Leave, Paternity Leave, Second Parent Leave, Vacation days: 8-9 weeks (total) per year

Tech stack

PythonSQLScalaSparkRust

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