Publicada el Publicado hace 16 hr horas
Misión del puesto
Experteer Overview As a Senior Data Engineer at Edwards Lifesciences, you design and maintain enterprise-grade data solutions with a strong focus on SQL-based processing, ETL pipelines, and data quality. You will work in Snowflake to validate business logic, investigate data quality issues, and perform root-cause analysis to improve data reliability. You’ll design data models and source-to-target mappings to deliver analytics-ready datasets while ensuring governance, security, and compliance. You’ll document designs clearly and use AI-assisted tools to boost productivity and solution quality. This role supports a patient-focused mission through scalable data platforms and cross-functional collaboration.Compensaciones / Beneficios
- Develop and maintain ETL/ELT pipelines and backend services with core SQL logic
- Perform SQL-driven data analysis in Snowflake to validate logic and diagnose data quality issues
- Design and document data models and mappings for analytics-ready datasets
- Ensure data solutions meet enterprise quality, security, and compliance standards with validation and monitoring
- Create technical documentation for pipelines, transformations, and design decisions
- Leverage AI-assisted development tools to enhance productivity and solution qualityResponsabilidades
- Bachelor’s degree in Computer Science, Engineering, or related field
- 5+ years of experience in software or data engineering
- Strong SQL skills and solid understanding of data structures and data modeling
- Experience with ETL/data processing and enterprise systems
- Strong analytical, problem-solving, communication, and documentation skillsRequisitos principales
- Competitive Compensation and Benefits package
- Versátil working hours, home office possibility
- Pension Plan
- Virtual Medical Clinic
- Meal Benefits
- Employee Stock Purchase Program