About the job Data Engineer, Healthcare
Job Title: Senior Data Engineer
Responsibilities:
- Develop and maintain end-to-end Data Engineering pipelines for deploying, monitoring, and scaling machine learning models.
- Collaborate with data scientists, software engineers, and DevOps teams to ensure seamless integration of ML models into production systems.
- Optimize model deployment processes by leveraging containerization technologies such as Docker or Kubernetes.
- Implement continuous integration/continuous deployment (CI/CD) practices for ML model development lifecycle management.
- Work closely with cross-functional teams to troubleshoot issues related to model performance or data quality in production systems.
Requirements:
- Bachelor's degree in Computer Science or a related field; advanced degree preferred.
- Minimum 7 years of experience working as Data Engineer or similar role within a data-driven organization.
- Experience with data modelling and database design is mandatory.
- Strong understanding of machine learning concepts and algorithms is good to have
- Proficiency in Python developing data pipelines/scripts.
- Strong experience with SQL and PySpark is essential
- Familiarity with cloud platforms like AWS/Azure/GCP for building scalable infrastructure solutions is highly desirable
- Experience with version control systems like Git/GitHub for managing code repositories
- Excellent problem-solving skills with the ability to analyze complex technical issues related to Data model deployments.
Package Details
- Base: $125,000
- Bonus: 15% - 18%
- Full Benefits