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Qubryx
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1 to 50 Employees · The Woodlands, US
1 open role0 posted in 7d1 in 30d
Work-life balance 3.0Compensation & benefits 3.0Culture & values 3.0
Hiring: Engineering
What employees say
+ Great team to work with and good company.
− Working hours can be dynamic very often.
More reviews on the company profile.
Job description
Overview
We are seeking a highly skilled Data Engineer with experience in geospatial data processing and visualization.
Responsibilities
- Design, implement, and optimize spatial and non-spatial data pipelines.
- Develop interactive geospatial data visualizations and dashboards using modern Python libraries and mapping tools.
- Work with tools like ESRI ArcGIS, QGIS, and Google Earth to process and analyze geospatial data.
- Integrate various data sources into geospatial data models and visualization platforms.
- Leverage Python (GeoPandas, Folium, Leaflet, Mapbox, Leafmap, etc.) for geospatial data transformation and analysis.
- Manage large spatial datasets in cloud environments (preferably Azure or AWS).
- Collaborate with data scientists and analysts to deliver geospatial insights.
- Ensure data integrity, performance, and security in all pipeline operations.
- Document technical solutions and develop reusable components and templates.
Qualifications
- 3+ years of experience in Data Engineering and geospatial development.
- Proficiency in Python with geospatial libraries (GeoPandas, Shapely, Leafmap, Folium, etc.).
- Hands-on experience with ESRI ArcGIS, QGIS, Google Earth, or similar platforms.
- Solid skills in SQL and working with spatial databases (PostGIS, SQL Server with spatial extensions).
- Solid understanding of coordinate systems, projections, and spatial analysis techniques.
- Cloud experience with services such as Azure Blob Storage, Azure Data Factory, AWS S3, or Google Cloud Storage.
- Exposure to Agile methodologies and collaborative team environments.
- Knowledge of metadata standards and geospatial data governance practices.
- Bachelors or Masters in Computer Science, GIS, Geomatics, or a related field.
Nice to have
- Familiarity with ETL workflows involving spatial data.
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