Shuru is an AI-native engineering services company building products with leading startups, enterprises, and well-funded scale-ups across India, Southeast Asia, the UAE, and global markets. Our engineers work in small, dedicated squads, ship in weekly cycles, and use AI-assisted development tools such as Cursor, Claude Code, and GitHub Copilot as a standard part of how we build. We hire for fundamentals, give engineers real ownership, and back them with a culture that respects deep work.
We are looking for a Snowflake Data Engineer to design, build, and maintain scalable data pipelines and cloud data solutions. You will work closely with engineering, analytics, and business teams to ensure reliable, high-quality data is available for reporting and decision-making.
Key Responsibilities
- Design and develop scalable data pipelines using Snowflake.
- Build and optimize ETL/ELT workflows for structured and semi-structured data.
- Develop complex SQL queries, stored procedures, and data models.
- Integrate data from APIs, databases, SaaS platforms, and cloud storage.
- Optimize Snowflake performance, warehouse usage, and query efficiency.
- Implement data quality checks, monitoring, and troubleshooting.
- Support data warehousing, reporting, and analytics requirements.
- Work with stakeholders to translate business requirements into data solutions.