Software engineer ID 2469
Software engineer ID 2469
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5years
Not Disclosed
Salary Not Disclosed
1 Vacancy
Job Description
- Lead the development of robust scalable testable and reproducible data products within an agile team.
- Create versatile and reusable data components that address datarelated challenges across multiple use cases.
- Transfer data engineering knowledge to team members with less experience in data engineering.
- Contribute to the design of the software architecture for new products.
- Collaborate closely with data scientists to implement comprehensive data solutions.
- At least 5 years of experience in software engineering with a strong foundation in data engineering for innovative data projects in an Agile setting.
- A minimum of 5 years of experience with Agile development within data sciencedriven projects.
- An educational background in software engineering either at the WO or PhD level.
- Write highquality Python code according to rigorous standards.
- Work with technologies such as PostgreSQL Kubernetes (including Helm and ArgoCD) Airflow RabbitMQ and Flask (including authentication and authorization).
- Develop within Continuous Integration (CI) pipelines perform unit testing and adhere to ObjectOriented Programming (OOP) principles.
- A dynamic innovative environment where you ll tackle data challenges using cuttingedge techniques and tools.
- An agile team committed to rapid product development with a strong focus on quality scalability and reproducibility.
- Opportunities to mentor and shape the skills of other team members while broadening your own expertise.
As a Software Engineer, you will: Lead the development of robust, scalable, testable, and reproducible data products within an agile team. Create versatile and reusable data components that address data-related challenges across multiple use cases. Transfer data engineering knowledge to team members with less experience in data engineering. Contribute to the design of the software architecture for new products. Collaborate closely with data scientists to implement comprehensive data solutions. What You Bring to the Table: At least 5 years of experience in software engineering, with a strong foundation in data engineering for innovative data projects in an Agile setting. A minimum of 5 years of experience with Agile development within data science-driven projects. An educational background in software engineering, either at the WO or PhD level. You should possess the ability to: Write high-quality Python code according to rigorous standards. Work with technologies such as PostgreSQL, Kubernetes (including Helm and ArgoCD), Airflow, RabbitMQ, and Flask (including authentication and authorization). Develop within Continuous Integration (CI) pipelines, perform unit testing, and adhere to Object-Oriented Programming (OOP) principles. What we bring to the table: A dynamic, innovative environment where you ll tackle data challenges using cutting-edge techniques and tools. An agile team committed to rapid product development with a strong focus on quality, scalability, and reproducibility. Opportunities to mentor and shape the skills of other team members while broadening your own expertise.
Employment Type
Full Time
