Lead Data Engineer

Srijan Technologies PVT LTD; Gurugram District; On-site; INR 800,000 - 1,500,000; Full time

Job summary

Srijan Technologies PVT LTD in Gurugram is looking for a skilled Data Engineer to contribute to an AI-driven initiative and regular data engineering tasks. The job demands strong Python development skills and a solid understanding of backend application engineering.

Key responsibilities include developing data pipelines, supporting ETL processes, and collaborating with various teams to enhance data workflows. Ideal candidates should also be familiar with cloud platforms and have a basic understanding of AI concepts.

Qualifications

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

Responsibilities

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

Skills

Python development

Application engineering concepts

SQL

ETL pipelines

AI/ML concepts

APIs and automation

Cloud platforms (AWS, Azure, GCP)

Debugging and problem-solving

CI/CD pipelines

.NET / C#

Job description

About US

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

We use deep human insights, design innovation and data to create experiences powered by modern technology. Our approaches speed engagement and growth for the companies we work with and transform relationships between businesses and the people they serve.

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 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#