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Lead Geospatial Data Engineer (Remote)

Posted 8 Days Ago
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In-Office or Remote
Hiring Remotely in Milan
Senior level
In-Office or Remote
Hiring Remotely in Milan
Senior level
Architect and build high-performance spatial data pipelines and scalable backend logic for massive datasets. Optimize geometry storage, implement spatial indexing, work with OLAP databases, and lead a technical team through code reviews, mentoring, and technical leadership.
The summary above was generated by AI
we are looking for a Senior Engineer to architect high-performance spatial data pipelines and lead a technical team.
You will handle massive datasets, optimize geometry storage, and build scalable backend logic.
✅ Must Have:
4+ Years experience in Data Engineering.
Core: Python (Pandas, GeoPandas), SQL.
Spatial DB: PostgreSQL + PostGIS (Must be your second language).
Experience with Big Data : OLAP Databases (ClickHouse, BigQuery) for massive datasets & Spatial Indexing (H3/S2).
Leadership skills (Code review, mentoring, team management).
💼 The Role:
Position: Lead Data Engineer.
Location: 100% Remote (Worldwide).
Tasks
Core: Python (Pandas, GeoPandas), SQL.
Spatial DB: PostgreSQL + PostGIS (Must be your second language).
Experience with Big Data : OLAP Databases (ClickHouse, BigQuery) for massive datasets & Spatial Indexing (H3/S2).
Leadership skills (Code review, mentoring, team management).
Requirements
Core: Python (Pandas, GeoPandas), SQL.
Spatial DB: PostgreSQL + PostGIS (Must be your second language).
Experience with Big Data : OLAP Databases (ClickHouse, BigQuery) for massive datasets & Spatial Indexing (H3/S2).
Leadership skills (Code review, mentoring, team management).

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