Data Engineer

Key Responsibilities

• Architect, build, and maintain high-performance data pipelines and warehouses in Snowflake.
• Design and optimize dimensional data models (star & snowflake schemas) using Kimball methodology.
• Implement automated data quality checks, monitoring, and alerting.
• Partner with analytics, product, and engineering teams to translate requirements into technical solutions.
• Mentor junior engineers and champion data engineering best practices.
• Develop and optimize ETL/ELT workflows integrating multiple cloud and SaaS data sources.
• Continuously tune Snowflake performance and manage cloud resources efficiently.
• Document data architecture, transformations, and operational processes.

Required Qualifications

• 5+ years of experience in data engineering.
• 3+ years of hands-on Snowflake experience, including query and warehouse optimization.
• Strong skills in dimensional modeling and data warehouse design.
• Proficiency in SQL and at least one programming language (Python preferred).
• Experience with modern data pipeline tooling and orchestration.
• Solid understanding of data warehouse concepts and best practices.

Preferred Skills

• Experience with dbt (data build tool).
• Familiarity with AWS, Azure, or GCP (AWS preferred).
• Experience with Git-based workflows and CI/CD pipelines.
• Knowledge of data governance and security in the cloud.
• Exposure to BI tools such as Looker, Tableau, or Power BI.