About Us
At Turgon, we believe there is a massive opportunity to reimagine how IT services are delivered by leveraging a combination of AI agents and humans to build, integrate and run the enterprise stack. AI agents that understand your existing infrastructure, processes and data and can rapidly help you modernize your infrastructure and generate insights about your business. That’s a $1.5T opportunity

We are a startup based in San Francisco and Current Delhi, founded by serial entrepreneurs. We are building out our core team to re-imagine and build an AI Agent version of Accenture. If you are compelled by this vision, let’s chat

About the Role
As a Data Engineer, you will be responsible for designing, building, and maintaining robust and scalable data pipelines. You will work with large datasets, ensuring data quality, and enabling data-driven decision-making across the organization. This role requires a strong understanding of data warehousing concepts, ETL processes, and up-to-date data architecture.

Responsibilities
- Design, develop,



and maintain scalable ETL processes for data ingestion, transformation, and loading.
- Implement and enforce data quality standards and procedures to ensure accuracy and reliability of data.
- Perform data cleaning, data profiling, and data validation to identify and resolve data discrepancies.
- Develop and optimize data migration strategies for moving data between various systems.
- Build and maintain reporting and analytics solutions, collaborating with stakeholders to understand their data requirements.
- Implement and manage data solutions based on medallion schema architecture (Bronze, Silver, Gold layers).
- Design and implement data integration solutions for various data sources.
- Collaborate with cross-functional teams to support data-related initiatives.

Requirements
- 3+ years of experience in data engineering or a similar role.
- Proficiency in SQL and experience with various database systems (e.g., PostgreSQL, MySQL, Sno

📌 Data Engineer (Delhi)
🏢 Turgon AI
📍 Delhi