Senior Data Integration Engineer

We are seeking a Senior Data Integration Engineer to design and build robust data transformation pipelines within the Snowflake ecosystem. In this role, you will leverage your deep technical expertise to develop scalable ETL/ELT solutions, working directly within Snowflake to deliver high-quality data products that power business decisions.

Responsibilities

• Design and develop ETL/ELT pipelines natively within Snowflake without relying on external ETL tools
• Build and maintain Stored Procedures, User-Defined Functions (UDFs), Dynamic Tables, and Views in Snowflake
• Develop data transformation logic to support analytical and operational use cases
• Write clean, efficient, and maintainable Python code to support data integration workflows
• Optimize Snowflake performance, including query tuning and resource management
• Collaborate with cross-functional teams to gather data requirements and translate them into technical solutions
• Ensure data quality, integrity, and reliability across all pipelines
• Document technical designs, processes, and data flows for team knowledge sharing

Requirements

• 3+ years of experience in data engineering or data integration roles
• Strong hands-on expertise in Snowflake ETL/ELT development
• Proficiency in building Snowflake Stored Procedures, User-Defined Functions (UDFs), and Dynamic Tables
• Skills in developing Views and complex data transformation logic within Snowflake
• Experience building data transformation pipelines directly in Snowflake without external ETL tools
• Strong Python development skills for data processing and automation
• Excellent command of written and spoken English (B2+ level)

Nice to have

• Familiarity with dbt for data transformation and modeling
• Understanding of CI/CD practices and tooling
• Proficiency in SQL