Data Architectural Specialist

7 days ago

Kottayam, Kerala, India beBeeAnalytics Full time ₹ 15,00,000 - ₹ 28,00,000

Senior Full Stack Analytics Developer

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This role requires the creation of systems that handle visualization of graphs with millions of nodes, deliver sub-100ms API response times at scale, and process TB-scale datasets in real-time.

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Key Responsibilities include building responsive, scalable web apps for advanced enterprise analytics and data visualization, developing interactive graph/network visualizations capable of rendering millions of nodes and edges smoothly, optimizing frontend performance for real-time exploration of large, multi-dimensional datasets, designing interfaces for explainable AI and complex entity relationship analytics, implementing advanced rendering techniques (WebGL, canvas virtualization) for massive dataset visualization.

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Backend & API Development includes architecting and implementing fast, scalable GraphQL/REST APIs with sub-sec response times for analytics, entity resolution, and graph queries, developing and orchestrating microservices using Node.js, Python, Scala, building and maintaining data transformation and aggregation pipelines, optimizing for low-latency and high throughput, integrating backend analytics powered by Apache Hadoop, Spark, and our proprietary graph database.

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Cloud Infrastructure & Data Platform responsibilities include deploying, scaling, and monitoring services on GCP (Kubernetes, GKE, Cloud Run, Pub/Sub), implementing cloud functions and serverless analytics workflows, designing and optimizing large-scale data processing pipelines handling TB-scale data with Apache Hadoop and Spark, collaborating with data engineers on ETL processes, data architecture, and real-time data integration strategies.

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The ideal candidate should have strong hands-on experience with React, TypeScript, D3.js, WebGL, Node.js, Python, Scala, and 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 is also required.

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Additionally, proficiency in API design (GraphQL/REST), microservices, and optimizing for real-time and large-scale data flows is essential. The ability to work with advanced technologies like custom graph engines, GCP services like GKE, Pub/Sub, BigQuery, and Cloud Run, and familiarity with cutting-edge AI libraries is a plus.

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The successful candidate will have a deep passion for building transformative, high-performance analytics technology and be quick to learn and adapt to new concepts and tools. As part of a dynamic team, you will collaborate closely with AI Engineers, Data Scientists, and other engineers to create innovative solutions for our clients.

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What You'll Build

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  • Graph Investigation Console: Visual interactive exploration of enterprise networks with millions of entities
  • Entity Resolution Workbench: Approve and audit entity matches with explainable analytics at scale
  • Analytics Dashboards: Real-time operational, risk, and business metric monitoring processing TB of data
  • Advanced Reporting Interfaces: Visualize supply chain, ESG, and other key KPIs with sub-second response
  • Custom Graph Explorer: Navigate and analyze hidden relationships in enterprise data using our proprietary graph engine

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