About Position:

We are looking for a skilled Data Engineer with strong expertise in Snowflake and dbt (data build tool) to design, build, and scale our up-to-date data platform. You will transform raw data into clean, tested, and high-performance analytical models to support business intelligence and data science teams.
Role: Data Engineer Location: Bangalore Experience: 3 to 8 years Job Type: Full Time Employment What You'll Do:
Pipeline Development: Build and maintain modular ELT data pipelines using Snowflake and dbt across staging, intermediate, and mart layers. Data Modeling: Implement dimensional data modeling (Kimball methodology) and design scalable schemas. Performance Tuning: Optimize complex SQL queries, virtual warehouses, and incremental dbt models for cost and speed. Data Quality & Testing: Write automated data tests (uniqueness, relationships, custom assertions) and maintain dbt documentation. CI/CD & Version Control: Manage code using Git, integrate dbt projects with CI/CD deployment workflows, and handle orchestration. Expertise You'll Bring:
Experience:



3 to 8 years of hands-on data engineering experience. Snowflake Skills: Deep knowledge of Snowflake architecture, virtual warehouse sizing, Time Travel, Tasks, and Streams. dbt Proficiency: Solid command over dbt core/cloud, macros, packages, and incremental loading strategies. SQL & Programming: Advanced analytical SQL skills alongside basic Python knowledge for scripting or orchestration. Collaboration: Familiarity with Git, Agile practices, and orchestrators like Apache Airflow or dbt Cloud Benefits:
Market-competitive salary and benefits package Culture focused on talent development with quarterly growth opportunities and company-sponsored higher education and certifications Opportunity to work with cutting-edge technologies Employee engagement initiatives such as project parties, flexible work hours, and Long Service awards Annual health check-ups Insurance coverage: group term life, personal accident,

📌 Data Engineer Bengaluru (India)
🏢 Persistent Systems
📍 India