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Backend Python Engineer
2 months ago
Position: System/Software Engineering Specialist - Python Backend Engineer
Location: Remote - Hybrid Work Environment
Contract Duration: 4 months with potential for extension
Key Responsibilities:
- Design and implement production-level systems tailored for scientists who demand excellence in quality, speed, performance, and dependability.
- Develop and advocate for interoperable systems that facilitate the effective reuse of software and data across various platforms within the organization.
- Incorporate best practices in data engineering into the daily operations of scientific teams and motivate peers in the engineering sector to adopt these methodologies.
- Ensure compliance with global Information Security and Quality standards for all services and products.
- Where applicable, uphold Regulatory Compliance standards for GxP products and services.
Required Experience and Skills:
- Proven experience in creating commercial-grade cloud solutions at scale utilizing cutting-edge technologies.
- Proficiency in programming with scalable data processing frameworks, including data ingestion, modeling, extraction, and management systems.
- Ability to collaborate effectively within a high-achieving engineering team.
- Genuine interest in the convergence of life sciences and computer science.
- Strong interpersonal skills with the capacity to communicate clearly in a collaborative environment.
- Experience in delivering software products through various Software Development Life Cycle (SDLC) methodologies and product-centric approaches.
- Self-motivated and adept at thriving in a fast-paced setting.
Specific Skills Required:
- Advanced Python programming skills for backend development, with expertise in libraries such as Pandas, Numpy, and SQLAlchemy.
- Demonstrated experience in constructing data pipelines using workflow management tools (e.g., Airflow).
- Experience in developing highly concurrent backend systems capable of processing large data volumes in cloud environments (e.g., AWSBatch, Parallel Cluster).
- Familiarity with database application development, preferably with Oracle and some Big Data systems.
- Knowledge of containerization technologies (e.g., Docker, Singularity) and Continuous Integration/Continuous Deployment (CI/CD) practices.
Educational Background:
- Bachelor's degree in Computer Science, Informatics, or a related field, or equivalent practical experience.
- A minimum of 3 years of relevant experience is required.
Language Proficiency:
- Fluent in English.