Software Developer / Data Engineer
Tasks
- Build and maintain data processing pipelines
- Build integrate and optimize database access layers
- Collaborate with scientists on computational data requirements
- Design, develop, and maintain APIs and backend services
- Develop CI CD pipelines and support deployments
- Develop user interfaces for scientific workflows
- Document technical decisions system architecture and data workflows
- Implement ETL workflows and data validation
- Monitor production systems and support incident response
- Optimize pipelines for performance reliability and scalability
- Participate in code reviews
- Troubleshoot and resolve issues in applications and pipelines
Perks/Benefits
Skills/Tech-stack
API Design | AWS | Access Layer | Airflow | Angular | Azure | Best practices | CI/CD | Data Lakes | Data Pipelines | Data Validation | Data Warehouses | Database Access Layer | Database Schema | Database Schema Design | Database access | Databricks | Django | Docker | ETL | FastAPI | Flask | GCP | Git | JavaScript | Microservice Architecture | Microservices | Nextflow | NoSQL | NumPy | Pandas | Prefect | Python | Query Optimization | RESTful APIs | React | SQL | Schema Design | Scikit-learn | Security best practices | Snakemake | Snowflake | TypeScript | Vue
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
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