Full Stack Big Data Engineer - Agentic AI

Mandatory:

• Apache Spark Apache Flink Apache Hadoop . Apache Beam Python GCP and BigQuery.

• Build and maintain backend services APIs and frontend applications as part of end-to-end Full Stack development.

Role Overview

We are looking for a technically strong Full Stack / Big Data Engineer with practical experience in large-scale data processing end-to-end software development and Agentic AI coding workflows.

The ideal candidate will combine strong programming and software engineering skills with hands-on experience building Big Data solutions and developing modern applications using AI-assisted or agent-based coding approaches.

This role requires a combination of Big Data Engineering Full Stack Development Python programming and practical Agentic AI experience . Candidates must have prior Big Data engineering experience in addition to Full Stack development capabilities.

Key Responsibilities

• Design develop and maintain scalable data-processing pipelines using Big Data technologies.
• Build and maintain backend services APIs and frontend applications as part of end-to-end Full Stack development.
• Develop efficient and maintainable code using Python and other relevant programming languages.
• Leverage Agentic AI coding tools and workflows to accelerate software development debugging testing and code optimization.
• Integrate data-processing capabilities with application services and downstream systems.
• Optimize data pipelines and application performance scalability and reliability.
• Implement appropriate testing code reviews version control and software engineering best practices.
• Collaborate with engineering and cross-functional teams to deliver production-ready solutions.

Required Technical Skills

1. Big Data Engineering Mandatory

• Hands-on experience in Big Data engineering and large-scale data processing.
• Practical experience with at least one of the following:
  • Apache Spark
  • Apache Flink
  • Apache Hadoop
  • Apache Beam
• Experience developing maintaining or optimizing data-processing pipelines.

2. Full Stack Development

• Demonstrable experience developing both frontend and backend applications.
• Strong programming and software engineering fundamentals.
• Backend development experience using Python Java or another relevant language.
• Experience building and integrating APIs services and application components.
• Frontend development experience using technologies such as React Angular or equivalent.
• Understanding of databases application integration debugging and software testing.

3. Agentic AI / AI-Assisted Coding

• Practical experience applying AI-assisted or agentic coding approaches in software development.
• Ability to leverage AI coding tools or agents for code generation refactoring debugging testing and development productivity.
• Understanding of how to validate AI-generated code for correctness security maintainability and performance.
• Experience building Agentic AI applications or integrating LLM-powered workflows would be an advantage subject to the projects specific requirements.

4. Python Programming

• Proficiency in Python for application development data processing automation or AI integration.
• Ability to write clean reusable testable and maintainable code.

Preferred Qualifications

• Experience working with distributed data-processing systems and large datasets.
• Familiarity with cloud-based data platforms and modern application deployment practices.
• Experience with Git automated testing CI/CD and collaborative software development.
• Exposure to LLM frameworks AI agent orchestration or enterprise AI integrations.