We are looking for a bilingual, motivated, and detail-oriented Data Engineer to join our client's team in the healthcare sector. In this role, you will contribute to designing, building, and optimizing scalable data solutions that support data migration, analytics, reporting, and operational efficiencies.
Responsibilities
- Design, develop, and maintain scalable data pipelines and ELT processes.
- Build and optimize data solutions within the Snowflake ecosystem.
- Develop and maintain DBT transformations and data models.
- Design and implement API-based integrations between Salesforce and enterprise data platforms.
- Support the migration and consolidation of data from legacy platforms into Stellus Rx's modern cloud environment.
- Ensure data quality, governance, reliability, security, and scalability across all solutions.
- Leverage AI-assisted development tools to accelerate delivery, improve engineering productivity, and reduce manual effort.
Requirements
- 5 years of experience as a Data Engineer.
- Strong hands-on expertise with Snowflake.
- Experience developing and maintaining DBT models and transformations.
- Advanced SQL development skills.
- Experience building and optimizing scalable ELT/ETL data pipelines.
- Fluent Spanish and professional English communication skills.
- Experience leveraging AI-assisted development tools to improve productivity.
Preferred Qualifications (if any)
- Experience applying AI-Assisted Development Lifecycle (AI-DLC) practices.
- Experience with Airflow or similar workflow orchestration tools.
- Python development experience.
- Healthcare or Pharmacy industry experience.
Salary & Benefits (Optional)
Rate: $30-$33/hr
Company-provided equipment
Who We Are
SGF Integral is an integrated talent solutions provider, offering staffing, recruitment, Employer of Record (EOR), nearshore, and consulting services acro
📌 Stellus - Data Engineer (Perú)
🏢 SGF Global
📍 Perú
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