Description

You will design, develop, and maintain scalable data pipelines using Snowflake, Python, and dbt to support large-scale data processing and analytics.

This role is hybrid.

Responsibilities

• Build and optimize ELT/ETL workflows and manage Snowflake objects including databases, schemas, tables, views, stages, tasks, and streams.
• Develop and maintain dbt models, macros, tests, and documentation while implementing data quality and monitoring frameworks.
• Optimize Snowflake performance through query tuning, clustering, partitioning, and warehouse management.
• Develop Python-based data ingestion, transformation, and automation solutions.
• Support CI/CD deployment processes and collaborate with Data Engineers, Architects, and stakeholders to deliver data solutions.

Required Skills

• 11+ years of experience with Snowflake Cloud Data Platform.
• Hands-on expertise in Python for data engineering and automation.
• Strong experience with dbt, including model development, testing, and deployment.
• Proficient in SQL development, query optimization, and data modeling.
• Knowledge of dimensional modeling (Star Schema, Snowflake Schema).
• Experience building ELT/ETL pipelines and understanding data warehousing concepts.
• Experience with Git version control and CI/CD processes.

Preferred Skills

• Familiarity with Agile/Scrum methodologies.
• Experience collaborating with Business Analysts and cross-functional teams.

Key Skills

Education

Bachelor's degree