Lead Geospatial Data Engineer (Remote)

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).

Key Skills

Apache Hive,S3,Hadoop,Redshift,Spark,AWS,Apache Pig,NoSQL,Big Data,Data Warehouse,Kafka,Scala

Employment Type : Employee

Experience : years

Vacancy : 1