Data Engineer (Snowflake)
Posted Updated 9
views
Summary
Remote Snowflake Data Engineer at Shuru, an AI-native engineering services firm, who designs and maintains scalable data pipelines, ETL/ELT workflows, and data models while optimizing Snowflake performance and data quality using SQL, Python, and tools like dbt and Airflow.
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