The DataOps engineer is responsible for managing, maintaining, and securing data amp; database system, performing database tuning in order to improve the performance, participate new projects for the data perimeter, propose evolution with new technology in a cloud approach.
- Setup, administrate and monitor databases and data systems
- Apply and enforce security policy related to his perimeter.
- Propose and implement evolution in our data systems
- Handle the data solutions in the projects.
- be the referent/contact point for data topics
- apply project management processes
- manage ETL, datalake system
- participate in business intelligence project
- keep abreast of technological survey in its field and propose innovative solutions
Requirements
MUST-HAVES
- Professional English.
- Database engine : SQL server, SQL MI on azure, SQL database on azure, MariaDB, MySQL, PostGre
- Data securisation
- ETL, data lakehouse, data factory
- Business intelligence : Microsoft power BI
- Expertise in
- Azure network services, Azure Active Directory
- Network : firewall, TCP/IP, DNS, VPN
- Cybersecurity
- System: Microsoft Server OS, Active Directory, Linux
- Powershell scripting
- Cloud : Microsoft Azure
- Team Player attitude
- Knowledge of various IT and business functions, software development process
- Capacity to work with an agile methodology, Kanban approach
- Great interpersonal, problem-solving, analytical, and research skills.
NICE-TO-HAVES
- NoSQL
- Experience in automotive or industrial business.
- Professional French or German or Chinese.