Enterprise Analytics Professional

6 days ago


Solapur, Maharashtra, India beBeeFullStack Full time US$ 1,80,000 - US$ 2,00,000
Enterprise Analytics Platform Developer

Location: Remote (Preference for India-based candidates)

We are a B2B SaaS AI start-up, redefining how organizations tackle some of the world's toughest challenges—financial crime, fraud, and risk management—through a groundbreaking contextual decision intelligence platform.

Our mission is to empower organizations with unparalleled intelligence while upholding the highest standards of integrity and societal impact.

The Opportunity

We're seeking a passionate and sharp Full Stack Developer to architect and build the front-end and back-end systems for our platform.

Role Overview

We are looking for a Senior Engineer to drive the development of user-facing solutions built on our custom graph database and high-performance analytics engine.

Core Responsibilities

  • Frontend & Visualization (40%): Build responsive, scalable web apps (React/TypeScript) for advanced enterprise analytics and data visualization.
  • Backend & API Development (35%): Architect and implement fast, scalable GraphQL/REST APIs with sub-sec response times for analytics, entity resolution, and graph queries.
  • Cloud Infrastructure & Data Platform (25%): Deploy, scale, and monitor services on GCP (Kubernetes, GKE, Cloud Run, Pub/Sub).

Required Skills and Qualifications

Technical Expertise:

We require a candidate with:

  • At least 5–8+ years' experience as a full stack engineer in analytics, big data, or enterprise environments.
  • Strong hands-on experience with React, TypeScript, D3.js, WebGL, Node.js, Python, Scala.
  • Advanced expertise with Hadoop and Apache Spark for distributed data processing and analytics.

DevOps & Deployment:

Enable Scalable Deployment: Deploy and manage services on cloud platforms (AWS/Azure/GCP) using Docker and Kubernetes.

Ethical & Explainable AI Focus Champion Transparency:

Integrate principles of fairness and interpretability into API design and frontend visualizations, ensuring outputs align with XAI goals and are understandable to users.

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