Emids is seeking a highly skilled Data Engineer with expertise in Kafka, Python, and Azure Databricks to drive healthcare data engineering projects.
Requirements
- 4+ years of experience in data engineering, with strong proficiency in Kafka and Python.
- Expertise in Kafka Streams, Kafka Connect, and Schema Registry for real-time data processing.
- Experience with Azure Databricks (or willingness to learn and adopt it quickly).
- Hands-on experience with cloud platforms (Azure preferred, AWS or GCP is a plus).
- Proficiency in SQL, NoSQL databases, and data modeling for big data processing.
- Knowledge of containerization (Docker, Kubernetes) and CI/CD pipelines for data applications.
- Experience working with healthcare data (EHR, claims, HL7, FHIR, etc.) is a plus.
- Strong analytical skills, problem-solving mindset, and ability to lead complex data projects.
- Excellent communication and stakeholder management skills
- Knowledge of additional cloud platforms (AWS, GCP) is a plus.
Benefits
- Health and wellness programs
- Flexible working hours and hybrid working model
- Professional development and growth opportunities
- Employee recognition programs
- Collaborative and inclusive work culture