Spatial Data Specialist

6 days ago

Rajahmundry, Andhra Pradesh, India beBeeDataScientist Full time ₹ 1,90,00,000 - ₹ 2,30,00,000

Job Title: Spatial Data Scientist

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This is an opportunity to work on a challenging project that involves building a pipeline for ingesting and processing satellite data from various sources. The data will be stored in a data lake built on Amazon S3.

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The ideal candidate should have expertise in Python-based backend development and experience designing, building, and deploying services on Amazon Web Services (AWS). They should also have a strong understanding of REST principles and experience in designing and building APIs from scratch.

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Responsibilities:

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  • Data Ingestion and Processing: Build and maintain an automated pipeline to ingest raw satellite data from sources like the Registry of Open Data on AWS.\
  • AI Model Training & Integration: Develop a framework in Python 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 the AI models.\
  • 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.\
  • 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.\
  • Qualifications:\
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    • A minimum of 3 years of professional software development experience.\
    • Deep expertise in either Python-based backend development or React-based frontend development.\
    • Essential experience designing, building, and deploying services on Amazon Web Services (AWS).\
    • 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 technical challenges.\
    • Strong communication skills to articulate technical decisions and collaborate with the team.\
    • Preferred Qualifications:\
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      • 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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