Full Stack Data Scientist

2 days ago

Kannur, Kerala, India beBeeEnterprise Full time US$ 1,20,000 - US$ 1,60,000
Enterprise Data Architect

We are seeking a skilled Enterprise Data Architect to design and implement scalable data systems for our platform.

This role requires expertise in full-stack development, big data processing, and cloud architecture. You will work closely with our team to create efficient data pipelines, handle large-scale datasets, and ensure platform reliability.

Key Responsibilities:

  • Design and implement scalable data systems using distributed data processing technologies
  • Develop and optimize complex data pipelines for real-time data integration and analytics
  • Collaborate with the engineering team to integrate backend analytics and frontend visualizations
  • Ensure data consistency and integrity across multiple platforms and services
  • 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
  • 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

Requirements:

  • 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
  • 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

What We Offer:

  • A competitive salary and benefits package
  • Significant early-stage equity and stock options
  • Opportunities for professional growth and career advancement
  • A dynamic and collaborative work environment
  • Flexible work arrangements and remote work options

How to Apply:

  1. Submit your resume and cover letter through our application portal
  2. Participate in a technical screening and coding challenge
  3. Engage in a series of interviews with our engineering team

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