Senior Full Stack Developer – Big Data & Cloud Platforms

We are seeking a highly skilled Senior Full Stack Developer with 10+ years of overall experience and 5–8 years of relevant experience in Big Data manipulation, front-end and back-end development, and cloud-based solutions. The ideal candidate should be proficient in building scalable data applications with a strong focus on user experience, API integration, and data pipeline orchestration using technologies like React.js, FastAPI, PySpark, Databricks, and Google BigQuery.

Key Responsibilities:
Frontend Development:
Design and implement modern, responsive UIs using React.js or similar frameworks.
Collaborate with UX/UI designers and stakeholders to ensure seamless user experiences.
Create UI mockups and prototypes using Figma, Canva, or similar design tools.
Develop reusable components with HTML, CSS, JavaScript, and frameworks like Tailwind CSS, Material UI, or Highcharts.
Implement client-side routing and state management using React fundamentals (e.g., HOC, Virtual DOM).
Integrate front-end with back-end services using REST APIs.
Bonus: Familiarity with Node.js and server-side rendering is a plus.
Middleware/API Development:
Develop scalable RESTful APIs using FastAPI or similar Python frameworks.
Integrate third-party APIs and internal services to bridge front-end and back-end functionality.
Ensure secure and efficient communication between microservices and data layers.
Work with Docker to containerize and deploy middleware services.
Backend & Big Data Development:
Design and manage data pipelines using Apache Airflow, Databricks, PySpark, and Google BigQuery.
Write clean, modular code in Python to transform and process large datasets.
Develop efficient SQL queries and manage structured data across data warehouses.
Implement authentication protocols such as JWT, OAuth, and API security best practices.

Bonus Skills & Experience:
Experience with cloud platforms (preferably GCP, but AWS/Azure are a plus).
Proficiency in Google BigQuery, Google APIs, and related GCP tools.
Familiarity with Kubernetes for orchestrating containerized applications.
CI/CD knowledge, Git workflows, and version control systems.
Experience working in Agile/Scrum development environments.

Qualifications:
Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
10+ years of total development experience with at least 5–8 years relevant in data-intensive applications.
Strong communication skills with the ability to collaborate across cross-functional teams.