About the role

  • Lead Data Engineer at digitalh architecting high-performance spatial data pipelines and leading a technical team handling massive datasets.

Responsibilities

  • 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
  • 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)

Job title

Job type

Full Time

Experience level

Senior

Salary

Not specified

Degree requirement

No Education Requirement

Tech skills

BigQueryPandasPostGISPostgresPythonSQL

Location requirements

RemoteWorldwide

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