About this role
The team is seeking a Data Engineer to join their team and contribute to impactful projects that enhance genomic technology. In this role, you will work with advanced data systems to support the development of solutions that improve health outcomes for individuals worldwide.
Key Responsibilities:
- Design, develop, and maintain data pipelines to support genomic data processing.
- Collaborate with data scientists and analysts to understand data requirements and ensure data integrity.
- Optimize and troubleshoot data workflows for performance and scalability.
- Implement best practices for data governance and security.
- Stay updated with the latest technologies and methodologies in data engineering and genomic research.
Required Skills & Qualifications:
- Proficiency in programming languages such as Python or Java.
- Experience with data processing frameworks like Apache Spark or Hadoop.
- Familiarity with cloud platforms such as AWS or Azure.
- Strong understanding of database technologies, including SQL and NoSQL databases.
- Excellent problem-solving skills and ability to work collaboratively in a team environment.
Experience:
- 3-5 years of experience in data engineering or related fields.
What we offer:
- Opportunity to work on groundbreaking projects that make a difference in healthcare.
- 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.