Data Integration Engineer – SnapLogic & Snowflake

This position is part of the Animal Health Omnichannel & Marketing Automation data platform initiative within the Technology industry.

• Experience in Data Integration, ETL/ELT, or Data Engineering
• Hands-on experience with SnapLogic
• Experience building data ingestion pipelines into Snowflake
• Strong SQL skills
• Experience integrating REST APIs, relational databases, and file-based data sources
• Good understanding of ETL/ELT concepts and data integration best practices
• Experience with incremental loading and data quality validation
• Strong analytical and problem-solving skills
• Ability to collaborate effectively with both technical and business stakeholders
• Experience working in Agile delivery environments

Nice to have:

• Experience with dbt
• Knowledge of Snowflake architecture and cloud data platforms
• Experience with AWS, Azure, or Google Cloud Platform
• Experience working in Life Sciences, Pharma, Animal Health, CRM, Customer Data Platform (CDP), Omnichannel, or Marketing Automation environments
• Familiarity with CI/CD practices and modern data engineering practices

• Design, build, and maintain data ingestion pipelines using SnapLogic
• Integrate data from enterprise applications, REST APIs, databases, cloud storage, and file-based sources
• Load data into Snowflake and ensure data quality, completeness, and reliability
• Implement full and incremental data ingestion processes
• Analyze source data structures and support data discovery activities
• Perform data validation and troubleshoot integration issues
• Monitor and optimize ingestion pipelines
• Support onboarding of new data sources and enhancements to existing integrations
• Create and maintain technical documentation

Work Environment: Agile delivery environments. Project Context: Part of the Animal Health Omnichannel & Marketing Automation data platform initiative.