Data Engineer

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Tree.ly, dedicated to climate protection and forestry significance, is hiring a Data Engineer. The role focuses on developing strong data pipelines for geospatial and temporal data, aiding real-time analytics to support their green mission. This is an opportunity to contribute to innovative forest management strategies aimed at ecological and business synergy.

In this role you can expect to have the responsibilities:

• Design and implement scalable ETL/ELT pipelines for geospatial and temporal data.
• Optimize storage and querying of geospatial datasets with tools like PostGIS and GeoPandas.
• Develop systems for efficient analysis of time-series data.
• Create and maintain data architectures on cloud platforms for large workloads.
• Collaborate with data scientists and product teams for data visualization and machine learning.
• Monitor and enhance data system performance for low-latency insights.
• Ensure data accuracy, consistency, and compliance with privacy standards.

This role requires you to have:

• 3+ years of experience in data engineering, focusing on geospatial or temporal data.
• Proficient in Python and SQL, with knowledge of Java or Scala.
• Experience with geospatial libraries and databases, such as GDAL and PostGIS.
• Familiarity with big data frameworks like Apache Spark and Kafka.
• Experience with cloud platforms like AWS or Azure and their data services.
• Strong analytical and problem-solving skills.
• Bachelor’s degree in a relevant field, such as Computer Science or GIS.

You would benefit from having:

• Experience with environmental or sustainability datasets.
• Knowledge of real-time data streaming and processing.
• Contributions to open-source projects in geospatial or data engineering.

Tree.ly embodies commitment to climate protection, linking companies with forest owners for sustainable forest management.