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 haveProficiency in Python developing data pipelines / scripts.Strong experience with SQL and PySpark is essentialFamiliarity with cloud platforms like AWS / Azure / GCP for building scalable infrastructure solutions is highly desirableExperience with version control systems like Git / GitHub for managing code repositoriesExcellent problem-solving skills with the ability to analyze complex technical issues related to Data model deployments.Package Details
Base : $125,000Bonus : 15% - 18%Full Benefits