About the Role
The role involves building robust data pipelines, ensuring data quality, and enabling insights through efficient data architecture and engineering practices.
Responsibilities
- Design and implement data pipelines for large-scale datasets
- Develop and maintain ETL workflows and data integration processes
- Ensure data accuracy, consistency, and accessibility across systems
- Collaborate with data scientists and analysts to understand requirements
- Optimize data storage and retrieval performance
- Support data governance and compliance standards
- Work with cloud-based data platforms and services
- Troubleshoot and resolve data-related issues
- Document data models, schemas, and system architecture
- Participate in agile development cycles and team standups
- Contribute to data warehouse design and maintenance
- Implement data validation and quality monitoring tools
- Automate routine data processing tasks
- Integrate data from diverse internal and external sources
- Support real-time and batch data processing needs
- Collaborate on data security and access controls
- Stay current with evolving data technologies and best practices
- Participate in code reviews and system design discussions
- Assist in scaling infrastructure for growing data demands
- Ensure systems meet reliability and uptime expectations
Compensation
Competitive salary and benefits package offered based on experience and qualifications.
Work Arrangement
Hybrid work model with a combination of remote and on-site presence.
Team
Collaborative environment within a global biotechnology organization focused on data-driven innovation.
Why This Role Matters
This position plays a key role in transforming raw data into reliable, actionable information used in drug development and patient outcomes research.
What We Offer
Opportunities for professional growth, access to cutting-edge technology, and the chance to contribute to meaningful healthcare advancements.
Visa sponsorship may be available for qualified candidates.
