About this role
The team is seeking a Lead Data Engineer to join their dynamic team. In this role, you will be instrumental in optimizing data workflows and enhancing patient access through innovative AI-powered solutions. You will lead the design and implementation of robust data architectures that support real-time automation and flexible access tools for healthcare organizations.
Key Responsibilities:
- Design and develop scalable data pipelines and architectures.
- Collaborate with cross-functional teams to understand data requirements and deliver solutions.
- Implement data governance practices to ensure data quality and compliance.
- Mentor and guide junior data engineers in best practices and technical skills.
- Analyze and optimize existing data processes for efficiency and performance.
Required Skills & Qualifications:
- Strong experience in data engineering with a focus on ETL processes.
- Proficiency in programming languages such as Python or Java.
- Experience with data warehousing solutions and big data technologies (e.g., Hadoop, Spark).
- Familiarity with cloud platforms like AWS or Azure.
- Knowledge of SQL and NoSQL databases.
- Excellent problem-solving skills and ability to work in a fast-paced environment.
Experience:
- 5-8 years of relevant experience in data engineering or a related field.
What we offer:
- A collaborative and inclusive work culture.
- Opportunities for professional growth and development.
- The chance to work on innovative projects that make a real impact in healthcare.
Applications are read by our talent team, usually within two working days.
If you look like a fit we will call you, and you will hear from us either way.