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Satellite Geospatial Data Engineer
2 weeks ago
The role of a Geospatial Data Scientist is to design and develop innovative solutions using geospatial data, focusing on the intersection of remote sensing, machine learning, and web development. This position requires expertise in both technical skills and soft skills, including problem-solving, communication, and collaboration.
Key Responsibilities:- Data Ingestion and Processing Pipeline: Develop an automated pipeline for ingesting raw satellite data from sources like the Registry of Open Data on AWS, storing the results in a data lake built on Amazon S3.
- Ai Model Training & Integration Framework: Design a framework to automate the machine learning lifecycle, including training, validation, versioning, and storage of models for satellite image classification and thermal risk prediction.
- Real-time Prediction Api: Design and build a low-latency REST API using AWS Lambda and API Gateway to serve real-time predictions from AI models.
- Frontend Core Feature Implementation: Implement the core features of the interactive dashboard using React and Mapbox GL JS, focusing on the intuitive visualisation of complex geospatial heatmap data.
- Cloud Infrastructure: Design and construct the entire cloud infrastructure using Infrastructure as Code (IaC) principles with the AWS CDK, ensuring the platform is secure, cost-effective, and scalable.
- Required Qualifications:
- A minimum of 3 years of professional software development experience
- Deep expertise in either Python-based backend development or React-based frontend development
- In-depth experience designing, building, and deploying services on Amazon Web Services (AWS), with a strong command of Lambda, S3, API Gateway, and IAM
- A thorough understanding of REST principles and proven experience in designing and building APIs from scratch
- Proficiency in containerising applications using Docker
- Demonstrated ability to independently solve complex, open-ended technical challenges
- Strong communication skills to articulate technical decisions and collaborate with the team
- Preferred Qualifications:
- Experience building complex, interactive mapping and data visualisation services with Mapbox GL JS or similar libraries
- Experience with GIS data processing using libraries like GeoPandas and Rasterio, or familiarity with Google Earth Engine
- Experience with ML model serving (MLOps) using frameworks like XGBoost and Scikit-learn
- Proven experience with Infrastructure as Code (IaC) tools such as AWS CDK or Terraform
- Previous experience in an early-stage start-up, demonstrating the ability to build a product from version 0 to 1
