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Software Release Engineer
2 weeks ago
Responsibilities:
- Develop CI/CD Pipelines:
- Create and operationalize CI/CD pipelines that automate the processes of testing, integration, and deployment for data products.
- Containerization:
- Utilize containerization technologies such as Docker and Kubernetes to encapsulate data processes, ensuring consistent and reliable build and release cycles.
- Automation:
- Automate the validation of components against carefully constructed test datasets to ensure the accuracy and reliability of data products.
- Standardization:
- Develop a consistent and efficient development framework that can be standardized across various data products within the organization.
- Collaboration:
- Work closely with cross-functional teams to ensure the seamless integration of data processes within containers, facilitating smooth build and release operations.
- Scalability and Maintainability:
- Engineer CI/CD workflows that are both scalable and maintainable, enabling rapid iteration and robust deployment patterns.
- Software Engineering Best Practices:
- Apply best practices from software engineering to the data domain to enhance the overall quality and reliability of data products.
Requirements:
- DevOps Methodologies:
- A strong understanding of DevOps practices is essential for this role, including principles of continuous integration and continuous deployment.
- Containerization Technologies:
- Proficiency with containerization technologies such as Docker and Kubernetes is required to encapsulate and manage data processes.
- CI/CD Pipeline Engineering:
- Experience in engineering CI/CD workflows and pipelines, particularly in a data product context.
- Test Dataset Validation:
- Ability to construct and use test datasets to validate data product components throughout the pipeline.
- Cross-functional Collaboration:
- Effective communication and collaboration skills to work with various teams involved in the data product lifecycle.
- Software Engineering Best Practices:
- Knowledge of best practices in software engineering specifically applied to data product development and deployment.
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