Enterprise Analytics Engineer

1 week ago

Anantapur, Andhra Pradesh, India beBeeDeveloper Full time US$ 1,80,000 - US$ 2,40,000

Job Description:

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  • We are looking for a highly skilled Full Stack Developer to join our team. The ideal candidate will have experience in building scalable and intuitive front-end and back-end systems, with a strong focus on data visualization and analytics.
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Responsibilities:

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  1. Design and implement fast and scalable APIs using GraphQL/REST protocols
  2. Build and maintain data transformation and aggregation pipelines, optimizing for low-latency and high-throughput
  3. Collaborate with AI Engineers to create a scalable platform that visualizes complex network relationships, delivers real-time risk scores, and integrates with advanced AI models
  4. Work closely with our engineering team to design and develop user-facing solutions built on our custom graph database and high-performance analytics engine
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Requirements:

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  • At least 5-8+ years of 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
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Benefits:

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  • Synergistic work environment with a talented team of engineers
  • Comprehensive training on proprietary systems with continuous learning opportunities
  • Significant early-stage equity
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Why Join Us:

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  • Impact: Shape the architecture of an essential platform for enterprise decision-making
  • Innovation: Work on proprietary graph technology, big data pipelines, and cutting-edge AI
  • Growth: Influence core engineering and play a central role in building the early team
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