Lead Data Engineer

We are looking for a Data Engineer with strong Python development skills and application engineering experience to support an AI-driven AIM Ops initiative along with regular data engineering activities. The ideal candidate should be comfortable working across data pipelines, backend services, automation, and AI-integrated workflows.

Key Responsibilities:-

1. Develop and maintain scalable data pipelines and backend applications using Python.
2. Work on AIM Ops initiatives involving AI/LLM-based automation and operational workflows.
3. Build, optimize, and support ETL/ELT processes.
4. Integrate APIs, automation scripts, and data services with enterprise platforms.
5. Collaborate with data architects, business teams, and AI engineers to deliver solutions.
6. Monitor, troubleshoot, and improve existing data workflows and applications.
7. Write clean, maintainable, and production-grade code.
8. Support cloud-based data engineering and deployment activities.

Required Skills:-

1. Strong hands-on experience in Python development.
2. Good understanding of application engineering concepts and backend development.
3. Experience with SQL and data engineering fundamentals.
4. Exposure to ETL pipelines and workflow orchestration.
5. Basic understanding of AI/ML or Generative AI concepts.
6. Experience working with APIs, automation, and integrations.
7. Familiarity with cloud platforms such as AWS, Azure, or GCP.
8. Good debugging, problem-solving, and communication skills.
9. Comfortable with CI/CD pipelines and version control tools like Git.

10. Exposure to .net /C#