Data Engineer, Azure Databricks
UBS
Your role
You will be a member of the Artificial Intelligence, Data, and Analytics (ADA) Crew. Together with your colleagues you will contribute to building and maintaining a robust and secure self-service HR data analytics and data science platform. You will contribute to our most ambitious and critical technology projects as we migrate our applications onto the Azure cloud platform.
We’re looking for a Software Engineer to:
• design, develop, and improve the digital products and technology services we provide to our clients and employees.
• apply a broad range of software engineering practices, from analyzing user needs and developing new features to automated testing and deployment.
• ensure the quality, security, reliability, and compliance of our solutions by applying our digital principles and implementing both functional and non-functional requirements.
• build observability into our solutions to monitor production health, help to resolve incidents, and remediate the root cause of risks and issues.
• continuously up-skill, learn new technologies and practices, reuse strategic platforms and standards, evaluate options, and make decisions with long-term sustainability in mind.
You will be a member of the Artificial Intelligence, Data, and Analytics (ADA) Crew. Together with your colleagues you will contribute to building and maintaining a robust and secure self-service HR data analytics and data science platform. You will contribute to our most ambitious and critical technology projects as we migrate our applications onto the Azure cloud platform.
We’re looking for a Software Engineer to:
• design, develop, and improve the digital products and technology services we provide to our clients and employees.
• apply a broad range of software engineering practices, from analyzing user needs and developing new features to automated testing and deployment.
• ensure the quality, security, reliability, and compliance of our solutions by applying our digital principles and implementing both functional and non-functional requirements.
• build observability into our solutions to monitor production health, help to resolve incidents, and remediate the root cause of risks and issues.
• continuously up-skill, learn new technologies and practices, reuse strategic platforms and standards, evaluate options, and make decisions with long-term sustainability in mind.
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