Senior Data Integration Engineer

We are seeking aSenior 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