Design, build, and maintain scalable Snowflake data pipelines and cloud data solutions. Develop ETL/ELT workflows, SQL queries, stored procedures, and data models; integrate APIs, databases, SaaS platforms, and cloud storage. Optimize Snowflake performance, implement data quality monitoring, support reporting and analytics, and translate stakeholder requirements into reliable data solutions.
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.
Requirements
- 4+ years of experience in Data Engineering.
- Strong hands-on experience with Snowflake.
- Advanced knowledge of SQL and data warehousing concepts.
- Experience with ETL/ELT tools such as dbt, Airflow, Fivetran, Matillion, or similar.
- Experience with Python for data processing and automation.
- Familiarity with cloud platforms such as AWS, Azure, or GCP.
- Understanding of dimensional modelling, data lakes, and data warehouse architecture.
- Experience with Snowflake features such as Streams, Tasks, Snowpipe, Time Travel, and clustering is preferred.
Benefits
- Competitive salary and benefits package.
- Opportunity to work with a team of experienced product and tech leaders.
- Continuous learning and development opportunities
- Chance to make a significant impact on diverse and innovative projects
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