Full Stack Developer with Big Data Engineer expertise and Agentic AI experience-Atlanta, GA Onsite F2F Interview

Full Stack Developer with Big Data Engineer expertise and Agentic AI experience.
Atlanta, GA Onsite F2F Interview 

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:
o  Apache Spark
o  Apache Flink
o  Apache Hadoop
o  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, Vue.js, 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 project's 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.
Ideal Candidate Profile
The ideal candidate will demonstrate all three core capabilities:
1.  Big Data Engineering: Hands-on experience with Spark, Flink, Hadoop, or Beam.
2.  Full Stack Development: Proven ability to develop both frontend and backend software.
3.  Agentic AI Coding: Practical experience using AI coding agents or agent-based development workflows.