Lead Geospatial Data Engineer

📋 Description

• Design and implement high-performance spatial data pipelines.

• Oversee and guide a technical team.

• Manage large datasets effectively.

• Enhance geometry storage solutions.

• Develop scalable backend systems.

⛳️ Requirements

• Minimum of 4 years of experience in Data Engineering.

• Proficient in: Python (Pandas, GeoPandas) and SQL.

• Familiarity with Spatial Database: PostgreSQL + PostGIS (should be your second language).

• Experience with Big Data technologies: OLAP Databases (ClickHouse, BigQuery) for large datasets and Spatial Indexing (H3/S2).

• Proven leadership abilities (code reviews, mentoring, and team management).

🏝️ Benefits

• Competitive salary and performance bonuses.

• Opportunities for professional development and training.

• Flexible working hours and remote work options.

• Comprehensive health and wellness benefits.