Cloud Architect
2 days ago
Welcome to Orsted Asia Pacific, a leading company in the renewable energy sector. We're committed to delivering on our organisation's digital strategy and creating a strong platform for analytics, model management, machine learning, etc., all built on cloud technologies.
We're looking for a Senior Data Engineer to join our Data Foundation team. In this role, you'll get the opportunity to architect and build end-to-end data engineering solutions that provide the foundation for cloud-based analytics across the company.
As a member of our team, you'll work closely with stakeholders to inspire and advise them on how to enable data. You will be respected for who you are, appreciated for what you contribute, and rewarded equally for what you achieve, while maintaining a sustainable work-life balance.
This is a highly flexible and inclusive environment where we hire talents from a diverse variety of backgrounds. You'll play an important role in:
- New development, i.e., additional features to the application as per business needs.
- Ensuring the operations and maintenance of the application, i.e., applications keep running in production without impacting business.
- Being Technical Application Responsible (TAR) of the applications.
- Working with team members on improving our DevOps journey.
- Ensuring applications owned by the team are secure, reliable, maintainable, scalable, and perform to meet the business needs.
- Developing and maintaining test automation frameworks, writing and executing test scripts.
To succeed in the role, you:
- Have a proven track record and advanced experience with development in Python, .NET, Angular, SQL/NoSQL, and Azure DevOps. Strong Python software development skills are essential.
- Have knowledge in cloud products (Azure Cloud Services and/or AWS), containerization, serverless computing, and architectural patterns.
- Are proficient in system integration using modern technologies, e.g., REST API, Microservices, Docker, Kubernetes, CI/CD with a high degree of automation (using GitHub Actions), Kafka, SQL, or any NoSQL databases and other service-based systems.
- Are proficient in writing unit and integration tests across all components; an advocate for automated testing. Experience with test automation tools will be a plus.
- Have basic to intermediate knowledge and experience with data engineering.
- Possess strong communication skills, experienced in stakeholder management, and experienced working in agile setups.
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