Data Engineer
Responsibilities
The candidate will fit into the Artificial Intelligence and Robotic Process Automation area. He will deal with the definition, implementation and maintenance of data architectures at the service of metrological and machine learning projects.
He also helps create AI&RPA technology solutions to meet business needs and ensure quality and efficiency improvements, from specification definition to release.
Specifically, the resource will be responsible for the following activities:
- Design and implement scalable and efficient data management solutions
- Designs and develops end-to-end data processing pipelines to meet functional and business requirements
- Operates in accordance with DevOps principles, implements CI/CD pipelines for ML model and code release
- Communicate the results obtained in an effective and understandable way by adapting to the communication context
- Collaborates with other business functions in researching and defining opportunities for improvement through AI & RPA technologies.
Requirements
- Degree in Computer Science, Computer Engineering or related discipline.
- Good knowledge of SQLServer
- Experience designing and defining at least one NoSQL database implementation
- Knowledge of data architecture principles, data modeling and data warehousing concepts
- Good knowledge of Python
- Basic knowledge of DevOps and CI/CD
The following are considered preferential titles:
- experience with Cloud platforms (eg AWS, Google, Azure)
- experience with Kubernetes and Docker
- good knowledge of Linux operating systems
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