The Python Competence Center plays a key role in a strategic ambition to become a fully datadriven company. The development of quantitative models and largescale data usage is one of ours strategic pillars. To support this transformation the Domino Dataquants platform was deployed across the organization and is now used by multiple business teams to leverage data as a core asset.
Within this Agile transformation the Dataquants team is looking for a Python Developer to strengthen the squad and accelerate the evolution of the Domino Dataquants platform while respecting ours architectural principles and ensuring highperformance data processing in a highstakes business environment.
Technical Responsibilities
- Contribute to solution design aligned with standards and norms.
- Participate in technical design activities based on platform requirements (functional and technical).
- Support the definition of software architecture in close collaboration with the architecture team.
- Contribute to the writing and maintenance of technical documentation.
- Provide Python expertise in resolving technical issues code optimization performance improvements and library recommendations.
- Participate in meetings with IT teams to align on technical requirements and standards.
- Support and mentor developers on the platform sharing best practices and technical guidance.
Agile / Team Responsibilities
- Conduct and facilitate all Scrum ceremonies within the squad.
- Manage sprint planning execution and progression ensuring collaboration and removing impediments.
- Participate in tribelevel ceremonies (QAP Scrum of Scrums etc.).
- Support the Product Owner and Core Team on organizational and delivery topics.
- Ensure effective communication within the team and with stakeholders.
- Support onboarding of new Scrum Team members.
- Promote a positive collaborative team culture.
- Challenge the team constructively and contribute ideas for continuous improvement.
- Adapt to the functional and technical context as needed and continuously grow skills.
Reporting to: Product Owner & Technical Lead
Qualifications :
- Strong experience in enterprise software development / software engineering (Git GitLab unit tests etc.).
- Expert-level Python (3.9) and its ecosystem: Anaconda Jupyter VS Code etc.
- Proficiency in computational and data libraries: NumPy Pandas etc.
- Expertise in performance optimization and parallelization:
Dask Spark GPU optimization CUDA CuPy etc. - Experience industrializing Python developments (standards design patterns TDD clean code).
- Experience creating and maintaining Python packages.
- DevOps tools: Jira CI/CD GitLab CI Jenkins Artifactory Shell scripting Docker Hashicorp Vault JFrog.
- Code quality tools: Fortify Nexus IQ SonarQube.
- Databases: Oracle PostgreSQL Netezza.
- File & object storage: S3 Boto3 IBM COS MinIO.
- Data Engineering skills: data manipulation exploration pipelines and data quality.
- Ability to challenge functional and technical stakeholders (Business MOA MOE).
- Fluent English (mandatory).
Additional Information :
Remote Work :
No
Employment Type :
Full-time
The Python Competence Center plays a key role in a strategic ambition to become a fully datadriven company. The development of quantitative models and largescale data usage is one of ours strategic pillars. To support this transformation the Domino Dataquants platform was deployed across the organiz...
The Python Competence Center plays a key role in a strategic ambition to become a fully datadriven company. The development of quantitative models and largescale data usage is one of ours strategic pillars. To support this transformation the Domino Dataquants platform was deployed across the organization and is now used by multiple business teams to leverage data as a core asset.
Within this Agile transformation the Dataquants team is looking for a Python Developer to strengthen the squad and accelerate the evolution of the Domino Dataquants platform while respecting ours architectural principles and ensuring highperformance data processing in a highstakes business environment.
Technical Responsibilities
- Contribute to solution design aligned with standards and norms.
- Participate in technical design activities based on platform requirements (functional and technical).
- Support the definition of software architecture in close collaboration with the architecture team.
- Contribute to the writing and maintenance of technical documentation.
- Provide Python expertise in resolving technical issues code optimization performance improvements and library recommendations.
- Participate in meetings with IT teams to align on technical requirements and standards.
- Support and mentor developers on the platform sharing best practices and technical guidance.
Agile / Team Responsibilities
- Conduct and facilitate all Scrum ceremonies within the squad.
- Manage sprint planning execution and progression ensuring collaboration and removing impediments.
- Participate in tribelevel ceremonies (QAP Scrum of Scrums etc.).
- Support the Product Owner and Core Team on organizational and delivery topics.
- Ensure effective communication within the team and with stakeholders.
- Support onboarding of new Scrum Team members.
- Promote a positive collaborative team culture.
- Challenge the team constructively and contribute ideas for continuous improvement.
- Adapt to the functional and technical context as needed and continuously grow skills.
Reporting to: Product Owner & Technical Lead
Qualifications :
- Strong experience in enterprise software development / software engineering (Git GitLab unit tests etc.).
- Expert-level Python (3.9) and its ecosystem: Anaconda Jupyter VS Code etc.
- Proficiency in computational and data libraries: NumPy Pandas etc.
- Expertise in performance optimization and parallelization:
Dask Spark GPU optimization CUDA CuPy etc. - Experience industrializing Python developments (standards design patterns TDD clean code).
- Experience creating and maintaining Python packages.
- DevOps tools: Jira CI/CD GitLab CI Jenkins Artifactory Shell scripting Docker Hashicorp Vault JFrog.
- Code quality tools: Fortify Nexus IQ SonarQube.
- Databases: Oracle PostgreSQL Netezza.
- File & object storage: S3 Boto3 IBM COS MinIO.
- Data Engineering skills: data manipulation exploration pipelines and data quality.
- Ability to challenge functional and technical stakeholders (Business MOA MOE).
- Fluent English (mandatory).
Additional Information :
Remote Work :
No
Employment Type :
Full-time
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