Enterprise Analytics Solutions Architect

1 week ago

Davangere, Karnataka, India beBeeAnalytics Full time US$ 1,80,000 - US$ 2,50,000
Senior Full Stack Developer – Advanced Analytics Specialist

We are seeking a highly skilled and experienced developer to join our team in building cutting-edge enterprise analytics solutions.

The Opportunity

  • Design, develop, and deploy scalable and efficient front-end and back-end systems for our platform, utilizing React, TypeScript, and Node.js technologies.

Core Responsibilities

Frontend & Visualization (40%)
  • Develop responsive web applications with advanced data visualization capabilities using React and TypeScript.
  • Implement interactive graph and network visualizations capable of rendering large datasets smoothly.
  • Optimize frontend performance for real-time exploration of massive datasets.
  • Design interfaces for explainable AI and complex entity relationship analytics.
  • Implement advanced rendering techniques using WebGL and canvas virtualization for massive dataset visualization.
Backend & API Development (35%)
  • Architect and implement fast and scalable GraphQL/REST APIs with sub-second response times for analytics and graph queries.
  • Develop and orchestrate microservices using Node.js, Python, and Scala.
  • Build and maintain data transformation and aggregation pipelines, optimizing for low-latency and high throughput.
  • Integrate backend analytics powered by Apache Hadoop, Spark, and our proprietary graph database.
  • Work with our custom graph query language and SDKs to expose graph analytics capabilities.
Cloud Infrastructure & Data Platform (25%)
  • Deploy, scale, and monitor services on Google Cloud Platform (Kubernetes, GKE, Cloud Run, Pub/Sub).
  • Implement cloud functions and serverless analytics workflows.
  • Design and optimize large-scale data processing pipelines handling TB-scale data with Apache Hadoop and Spark.
  • Collaborate with data engineers on ETL processes, data architecture, and real-time data integration strategies.
  • Ensure platform reliability with 99.9% uptime SLAs.

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