Spatial Data Analyst

2 weeks ago

Nellore, Andhra Pradesh, India beBeeGeographic Full time ₹ 1,50,00,000 - ₹ 2,50,00,000
Job Title: Geographic Information Systems Specialist

About the Job:
This role is a fantastic opportunity to work with cutting-edge technology and contribute to the development of innovative geospatial solutions. As a Geographic Information Systems (GIS) specialist, you will be responsible for designing, building, and maintaining complex data processing pipelines, machine learning models, and interactive dashboards.

Key Responsibilities:
  • Create automated data ingestion and processing pipelines using Python, leveraging libraries such as GeoPandas and Rasterio.
  • Develop a framework for automating the machine learning lifecycle, including training, validation, versioning, and storage of models for satellite image classification and thermal risk prediction.
  • Design and build a low-latency REST API using AWS Lambda and API Gateway to serve real-time predictions from AI models.
  • Implement core features of an interactive dashboard using React and Mapbox GL JS, focusing on intuitive visualisation of complex geospatial heatmap data.
  • Construct cloud infrastructure using Infrastructure as Code (IaC) principles with the AWS CDK, ensuring security, cost-effectiveness, and scalability.

Requirements:
  • 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.

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