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Lead Data Engineer

Srijan Technologies

Job Location:

Gurugram - India

Monthly Salary: Not provided by the employer

Posted: 24 May 2026 (30+ days ago)

Application Deadline: 21 August 2026

Vacancies: 1 Vacancy

Job Summary

About US:-

We turn customer challenges into growth is a global strategy partner to the worlds most recognizable brands and innovative companies. Our people around the globe thrive by helping organizations design and deliver rewarding customer experiences.

Srijan a Material company is a renowned global digital engineering firm with a reputation for solving complex technology problems using their deep technology expertise and leveraging strategic partnerships with top-tier technology partners.Be a part of an Awesome Tribe

Job Description:-

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 andmaintainscalable data pipelines and backend applications using Python.
2. Work on AIM Ops initiatives involving AI/LLM-based automation and operational workflows.
3. Buildoptimize 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 /C#

Required Experience:

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