Python Fullstack Developer || Chennai &Hyderabad || Incedo || (React)

3 - 6 years

10 - 20 Lacs

Posted:1 month ago| Platform: Naukri logo

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Job Type

Full Time

Job Description

JD:

Key Responsibilities:

  • Backend (Python Focus):

    • Develop scalable backend services and APIs using

      Python (Flask, FastAPI, Django)

      .
    • Write efficient, reusable, and well-tested Python code for data integration and business logic.
    • Build middleware layers for integrating with

      BigQuery, Pub/Sub, Cloud Storage, and Cloud Functions

      .
  • Frontend (UI Focus):

    • Design and implement interactive

      web applications

      using

      React.js (preferred)

      or Angular/Vue.
    • Build

      data visualization dashboards

      and UI components to enable insights from large-scale datasets.
    • Ensure responsive, accessible, and performant UI experiences.
  • Full Stack & Cloud Integration:

    • Collaborate with data engineers to integrate

      data pipelines and ML models

      into user-facing products.
    • Deploy applications on

      GCP (App Engine, GKE, Cloud Run)

      ensuring scalability and reliability.
    • Implement

      CI/CD pipelines

      (Cloud Build, Jenkins, GitHub Actions) for backend and frontend apps.
  • Quality & Collaboration:

    • Apply best practices in

      Python coding standards (PEP8, unit testing, type hints)

      and

      modern JavaScript/TypeScript

      .
    • Conduct code reviews, contribute to architecture discussions, and maintain documentation.
    • Work in agile teams,collaborating with product managers, UX designers, and data science teams.

Required Skills & Qualifications:

  • Python Expertise:

    Strong hands-on programming skills with

    Flask, FastAPI, or Django

    .
  • Frontend Development:

    Proficiency in

    React.js

    (preferred) or Angular/Vue, with strong knowledge of

    JavaScript/TypeScript, HTML5, CSS3

    .
  • Data Integration:

    Experience working with

    databases(SQL/NoSQL)

    and integrating data products into applications.
  • GCP Knowledge:

    Practical exposure to

    BigQuery, Cloud Storage, Pub/Sub, IAM, and Cloud Functions

    .
  • Familiarity with

    Docker, Kubernetes (GKE)

    , and CI/CD pipelines.
  • Strong problem-solving and debugging skills across backend and frontend.

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