Data Engineer
• Mid-Level
• On-Site
• Data
Mark status as:
✨ The Role in One Sentence
Tree.ly is seeking a skilled Data Engineer to design and maintain data pipelines focused on geospatial and temporal datasets, contributing to a greener planet.
📋 What You'll Likely Do
40%: Design and implement scalable ETL/ELT pipelines to process geospatial and temporal data from diverse sources.
30%: Optimize storage and querying of geospatial datasets using tools like PostGIS and GeoPandas.
30%: Collaborate with data scientists to deliver clean, reliable datasets for visualization and machine learning.
🧑💻 Profiles Doing This Job
High Priority: 3+ years in data engineering with geospatial/temporal data processing experience.
High Priority: Proficiency in Python, SQL, and experience with geospatial libraries and databases.
High Priority: Experience with cloud platforms (AWS or Azure) and their geospatial/temporal data services.
📈 How This Role Will Look on Your CV
Designed and maintained data pipelines for processing geospatial and temporal data in a sustainability-focused company.