Satellite Data Developer

6 days ago

Hubli, Karnataka, India beBeeDeveloper Full time ₹ 12,00,000 - ₹ 18,00,000
About the Role">

As a skilled developer, you will be responsible for building and maintaining an automated pipeline to ingest and process raw satellite data from various sources. This involves working with AWS services like S3 and leveraging Python-based backend development expertise.

The ideal candidate will have a strong command of Amazon Web Services (AWS), including Lambda, S3, API Gateway, and IAM. Experience with containerising applications using Docker is also essential.

Key Responsibilities
  • Data Ingestion and Processing Pipeline: Develop and maintain an automated pipeline to ingest and process raw satellite data from various sources, storing the results in a data lake built on Amazon S3.
  • AI Model Training & Integration Framework: Automate the machine learning lifecycle, including training, validation, versioning, and storage of models for satellite image classification and thermal risk prediction using XGBoost.
  • 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 core features of an interactive dashboard using React and Mapbox GL JS, focusing on intuitive visualisation of complex geospatial heatmap data.
  • Cloud Infrastructure: Design and construct entire cloud infrastructure using Infrastructure as Code (IaC) principles with AWS CDK, ensuring security, cost-effectiveness, and scalability.
QualificationsRequired 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.
Benefits

This role offers the opportunity to work on a cutting-edge project, contributing to the development of innovative solutions. The ideal candidate will be part of a dynamic team, collaborating to drive success.

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