About this role
The team is seeking a skilled Data Engineer to join their dynamic team. This role is crucial in transforming data into actionable insights that drive decision-making and improve healthcare delivery. You will work with cross-functional teams to design, build, and maintain data pipelines and infrastructure that support data analytics and reporting.
Key Responsibilities:
- Design and implement data models and ETL processes to support data integration and analytics.
- Collaborate with data scientists and analysts to understand data requirements and deliver solutions.
- Optimize data storage and retrieval processes for performance and scalability.
- Ensure data quality and integrity through rigorous testing and validation.
- Monitor and troubleshoot data pipeline performance and reliability issues.
Required Skills & Qualifications:
- Proficiency in SQL and experience with database management systems (e.g., PostgreSQL, MySQL).
- Strong programming skills in languages such as Python or Java.
- Experience with big data technologies (e.g., Hadoop, Spark) and cloud platforms (e.g., AWS, Azure).
- Familiarity with data warehousing solutions and data modeling techniques.
- Excellent problem-solving skills and the ability to work collaboratively in a team environment.
Experience:
- Minimum of 5-8 years of experience in data engineering or a related field.
What we offer:
- Opportunity to work on impactful projects that improve healthcare outcomes.
- A collaborative and innovative work environment.
- Professional development and growth opportunities.
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.