Deskripsi Pekerjaan
Join Eka Hospital's innovative technology team as an AI & Automation Solutions Engineer. We're seeking a visionary professional to architect and implement cutting-edge solutions that transform healthcare operations through intelligent automation. You'll design and maintain robust end-to-end data pipelines, ensuring seamless data flow across critical systems. Develop dynamic BI dashboards and reports that empower clinical and administrative teams with actionable insights. Build and optimize full-stack internal applications that automate complex workflows, enhancing efficiency and patient care quality.
This role offers the opportunity to work at the intersection of healthcare and technology, where your solutions will directly impact patient outcomes and operational excellence. Collaborate with cross-functional teams to identify automation opportunities, implement machine learning models, and scale data infrastructure. If you're passionate about leveraging AI to solve real-world challenges in a mission-driven environment, we invite you to apply your expertise to revolutionize healthcare delivery.
Tanggung Jawab
- Design, implement, and maintain scalable end-to-end data pipelines for healthcare data integration
- Develop and optimize interactive BI dashboards using tools like Tableau/Power BI
- Build full-stack internal applications to automate clinical workflows and administrative processes
- Implement machine learning models for predictive analytics and process optimization
- Ensure data quality, security, and compliance with healthcare regulations
- Collaborate with clinical stakeholders to identify automation opportunities
- Monitor and optimize data pipeline performance and system reliability
Kualifikasi
- Bachelor's degree in Computer Science, Data Science, or related field
- 3+ years experience in data engineering or automation solutions
- Proficiency in Python, SQL, and ETL tools (e.g., Apache Airflow)
- Experience with BI platforms (Tableau, Power BI) and visualization
- Full-stack development skills (JavaScript, React, Node.js)
- Knowledge of cloud platforms (AWS, Azure) and containerization
- Understanding of healthcare data standards and compliance requirements