High-Performance Analytics Engineer

4 days ago

Vijayawada, Andhra Pradesh, India beBeeDeveloper Full time US$ 16,00,000 - US$ 20,00,000
Job Opportunity

We are seeking a skilled Full Stack Developer to build the front-end and back-end systems for our platform.

You will work closely with our AI Engineers to create a scalable, intuitive platform that visualizes complex network relationships, delivers real-time risk scores, and integrates with advanced AI models.

This is a chance to solve intricate technical challenges, from real-time very large data processing to interactive graph visualizations, while contributing to a mission that fights financial crime, builds customer intelligence and promotes ethical decision-making.

  • Build responsive, scalable web apps (React/TypeScript) for advanced enterprise analytics and data visualization
  • Develop interactive graph/network visualizations capable of rendering millions of nodes and edges smoothly
  • Optimize frontend performance for real-time exploration of large, multi-dimensional datasets
  • Design interfaces for explainable AI and complex entity relationship analytics
  • Implement advanced rendering techniques (WebGL, canvas virtualization) for massive dataset visualization
  • Architect and implement fast, scalable GraphQL/REST APIs with sub-sec response times for analytics, entity resolution, and graph queries
  • Develop and orchestrate microservices using Node.js, Python, 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
  • Deploy, scale, and monitor services on GCP (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

Requirements

Technical Skills

  • Atleast 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
  • Experience building rich data visualizations and enterprise dashboards handling millions of data points
  • Proficient in API design (GraphQL/REST), microservices, and optimizing for real-time and large-scale data flows
  • Database exposure: PostgreSQL, Redis, Elasticsearch; experience designing or scaling custom graph engines a plus
  • GCP experience with services like GKE, Pub/Sub, BigQuery, and Cloud Run

DevOps & Deployment

Enable Scalable Deployment: Deploy and manage services on cloud platforms (AWS/Azure/GCP) using Docker and Kubernetes, optimizing for low-latency (

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