Turgon AI

AI-native system integrator for data modernization

Data Engineer

Data EngineeringConfirmed live in the last 24 hours

Full-timeDelhi, India

About the Job

Requirements

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 GCP and their data services.
Problem-solving and communication skills.

Responsibilities

Design, develop, and maintain scalable ETL 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 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, and Gold layers).
Design and implement data integration solutions for various data sources.
Collaborate with cross-functional teams to support data-related initiatives.

Desired Qualifications

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.

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 New 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 modern 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, 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 (e.g., Tableau, Power BI).
Understanding of medallion schema architecture.
Experience with cloud platforms (AWS, Azure, or GCP) and their data services.
Excellent problem-solving and communication skills.

Nice-to-Have Skills

Experience with big data technologies (e.g., Spark, Hadoop).
Familiarity with data orchestration tools (e.g., Airflow, Dagster).
Knowledge of Python or other scripting languages for data manipulation.
Prior startup experience.

Education & Certification

We don’t actually care about qualifications as long as you are a rockstar engineer who wants to keep learning and make a massive impact.

What We Offer

A values aligned culture: always learning mindset, collaborative environment and an entrepreneurial approach to getting things done.
Competitive, flexible salary based on experience
Equity via ESOPs
Opportunity to shape data strategy at an AI-native company.
Collaborative, high-energy startup culture in San Francisco and South Delhi
Access to top AI researchers worldwide to drive innovation and continuous learning.

About the Company

Turgon AI

AI-native system integrator for data modernization

Turgon AI is an AI-native system integrator that helps large enterprises modernize their IT and data infrastructure. It combines proprietary AI agents with human experts to convert legacy, siloed systems into AI-ready data foundations. Its platform covers data migration, system consolidation and integration, data governance, and analytics enablement, working with enterprise systems such as Salesforce, Snowflake, Databricks, SAP, and Oracle. The company serves customers in logistics, supply chain, hospitality, finance, and retail, and highlights case studies like McCarthy Tire Service and Penguin Solutions. Turgon differentiates itself by integrating AI-powered agents with human expertise to perform data modernization end-to-end, rather than relying on traditional, purely human-driven system integration. Its goal is to help enterprises unlock value from their data by creating unified, governable data foundations that enable scalable analytics and AI initiatives.

Company size: 11-50
Company stage: Seed
Total funding: $6.5M
Headquarters: San Francisco, CA
Founded: 2024

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