Full-Time
Data Engineer
Turgon AI
11-50 employees
AI-native IT modernization and data integration
No salary listed
Delhi, India
In Person
 Data & Analytics (1) |
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- At least 3 years of experience in data engineering or a similar role.
- Proficiency in SQL and experience with database systems such as PostgreSQL, MySQL, and Snowflake.
- Strong experience with ETL tools and data warehousing concepts.
- Demonstrated experience with data cleaning, data quality, and data migration.
- Familiarity with reporting and analytics tools such as Tableau and Power BI.
- Understanding of medallion schema architecture.
- Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform and their data services.
- Ability to solve problems effectively and communicate clearly.
- Design, develop, and maintain scalable extract, transform, and load processes for data ingestion, transformation, and loading.
- Implement and enforce data quality standards and procedures to ensure data accuracy and reliability.
- 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 while collaborating with stakeholders to understand their data requirements.
- Implement and manage data solutions based on medallion schema architecture, including Bronze, Silver, and Gold layers.
- Design and implement data integration solutions for various data sources.
- Collaborate with cross-functional teams to support data-related initiatives.
- Experience with big data technologies such as Spark and Hadoop.
- Familiarity with data orchestration tools such as Airflow and Dagster.
- Knowledge of Python or other scripting languages for data manipulation.
- Prior startup experience.
Turgon AI is an AI-native system integrator that helps enterprises modernize IT and data infrastructure. It uses an agentic platform where specialized AI agents work with human experts to design, build, and continuously update data systems, enabling data migration, system consolidation and integration, data governance, and analytics acceleration. This human-in-the-loop approach bridges accuracy gaps and automates workflows, delivering faster project delivery and lower costs than traditional methods. The company differentiates itself with its AI agent pod and partnerships, such as the DynPro alliance, to tackle large-scale modernizations across industries like logistics, hospitality, finance, and retail.
Company Size
11-50
Company Stage
N/A
Total Funding
N/A
Headquarters
San Francisco, California
Founded
2024
Get referred to Turgon AI
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Simplify's Take
What believers are saying
- Pharma Logistics cut Snowflake spend 40% by March 2026.
- Turgon reported 2025 investors CIV, Founder Collective, and Slow Ventures.
- LinkedIn hiring in Delhi and GTM suggests active expansion in 2026.
What critics are saying
- Turgon sells services, so Accenture and DynPro can copy its workflows quickly.
- Self-reported case studies hide churn and margin pressure if deployments stall.
- A failed enterprise rollout damages trust and kills referrals by 2027.
What makes Turgon AI unique
- Turgon’s AI agents and human experts cut modernization from months to weeks.
- McCarthy Tire went live in five weeks, validating its legacy-data execution model.
- DynPro partnered February 19, 2026, giving Turgon enterprise delivery muscle.
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