OBS! Ansökningsperioden för denna annonsen har
passerat.
Arbetsbeskrivning
Veritaz is a leading IT staffing solutions provider in Sweden, committed to advancing individual careers and aiding employers in securing the perfect talent fit. With a proven track record of successful partnerships with top companies, we have rapidly grown our presence in the USA, Europe, and Sweden as a dependable and trusted resource within the IT industry.
Assignment Description:
We are looking for an experienced Data Engineer to join our dynamic team
What you will work on:
Collaborate closely with Data Scientists and Machine Learning Engineers to create scalable machine learning software products for the company’s fashion network.
Lead the end-to-end design, development, and maintenance of large-scale data infrastructure for machine learning projects.
Implement DevOps principles to manage CI/CD pipelines, utilize Terraform, and oversee GCP (Google Cloud Platform) infrastructure.
Apply expertise in software architecture and design patterns to develop code that is scalable, maintainable, well-designed, and future-proof.
Contribute as a valuable member of an agile, cross-functional team consisting of engineers, data scientists, and business stakeholders.
Build and enhance the AI ecosystem within the company.
What you bring:
Proficient in designing, developing, and scaling machine learning software products in collaboration with Data Scientists and Machine Learning Engineers.
Strong expertise in building and maintaining large-scale data infrastructure for machine learning projects.
DevOps mindset with hands-on experience managing CI/CD pipelines, Terraform, and Cloud infrastructure (specifically GCP).
In-depth knowledge of software architecture and design patterns to create code that is both scalable and future-ready.
Effective team player, able to collaborate within a cross-functional agile team comprising engineers, data scientists, and business stakeholders.
Required Cloud Certification: GCP Data Engineering