Design, build, and maintain scalable ETL pipelines and medallion-schema data architectures. Ensure data quality, perform cleaning and migration, integrate varied sources, and support reporting and analytics in collaboration with stakeholders.
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.
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