Description

Design, develop, and optimize scalable data pipelines, data models, and reusable data products using Snowflake, dbt, and AWS.

This role is on-site.

Responsibilities

• Design and maintain scalable ELT/ETL pipelines using Snowflake and dbt.
• Build enterprise-grade data models supporting analytics, reporting, and AI initiatives.
• Implement data quality controls, reconciliation processes, and monitoring frameworks.
• Optimize query performance, warehouse utilization, and overall platform efficiency.
• Support DataOps and CI/CD practices for data engineering solutions.

Required Skills

• 8+ years of experience in data engineering.
• Strong expertise in Snowflake, including Snowpipe, Streams, Tasks, and Role-Based Security.
• Proficiency in dbt for data transformation and modeling.
• Advanced SQL and Python skills.
• Experience with AWS services (S3, Lambda, Cloud-native Data Services).
• Proven track record in performance tuning and query optimization.

Preferred Skills

• Experience with Snowflake CoCo capabilities.
• Familiarity with source-to-target mapping and data governance standards.

Key Skills

Education

Any Graduate