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Data Engineer (Snowflake)

Shuru Tech · shurutech.com
BengaluruMid level4+ yrs
Apply on Shuru Tech’s site

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The job in short

Data engineering on Snowflake.

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Details

Found
24 d ago · posted 2026-10-04
Location as listed
Bangalore North, India
Role
Data Engineer
Source
The company’s own careers site

Full description

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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