Lead Geospatial Data Engineer

Job Description:

• Architect high-performance spatial data pipelines.
• Lead a technical team.
• Handle massive datasets.
• Optimize geometry storage.
• Build scalable backend logic.

Requirements:

• 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).