technologies-expected :

responsibilities :

develop and deploy Cloud solutions for handling large and unstructured data sets
fine-tune and validate Data Warehouse/Big Data solutions within a CI/CD framework
oversee the smooth transition of data infrastructure from on-premises environments to public Cloud platforms
create Data, AI, and ML applications, alongside Generative AI solutions
implement Infrastructure as Code principles to automate provisioning and management processes effectively

requirements-expected :

minimum of 3 years of experience in DevOps within Cloud Data Engineering projects, with a focus on provisioning Cloud Infrastructure and establishing CI/CD environments
practical knowledge of at least one Public Cloud platform in Storage, Compute (+Serverless), Networking and DevOps areas supported by commercial project work experience
proficiency in English B2/C1
technologies:
Cloud: Azure, AWS, GCP
Python
IaC: Terraform, Bicep, CloudFormation
SQL

offered :

permanent employment contract
hybrid, flexible working model - 2 days per week in office
co-financing to equip a workplace at home
development opportunities:
substantive support from project leaders,
a wide range of internal and external trainings (technical, language, leadership),
certification support in various areas,
mentoring and a real impact on shaping your career path,
access to a database of over 2,000 training courses on Pluralsight, Coursera, Harvard platforms,
the opportunity to participate in conferences both as a listener and an expert;
relocation package;
benefits as part of the social package (cafeteria system, medical care for the whole family, group insurance on preferential terms).

responsibilities :