Senior Data Engineer - Snowflake DB & Data Build Tool

Responsibilities :

• Architect and implement modular, test-driven ELT pipelines using dbt on Snowflake.
• Design layered data models (e.g., staging, intermediate, mart layers / medallion architecture) aligned with dbt best practices.
• Lead ingestion of structured and semi-structured data from APIs, flat files, cloud storage (Azure Data Lake, AWS S3), and databases into Snowflake.
• Optimize Snowflake for performance and cost : warehouse sizing, clustering, materializations, query profiling, and credit monitoring.
• Apply advanced dbt capabilities including macros, packages, custom tests, sources, exposures, and documentation using dbt docs.
• Orchestrate workflows using dbt Cloud, Airflow, or Azure Data Factory, integrated with CI / CD pipelines.
• Define and enforce data governance and compliance practices using Snowflake RBAC, secure data sharing, and encryption strategies.
• Collaborate with analysts, data scientists, architects, and business stakeholders to deliver validated, business-ready data assets.
• Mentor junior engineers, lead architectural / code reviews, and help establish reusable frameworks and standards.
• Engage with clients to gather requirements, present solutions, and manage end-to-end project delivery in a consulting Qualifications :
• 5 to 8 years of experience in data engineering roles, with 3+ years of hands-on experience working with Snowflake and dbt in production Skills :

Cloud Data Warehouse & Transformation Stack :

(ref : hirist.tech)