Full-Time Data Engineer
Eurofins is hiring a remote Full-Time Data Engineer. The career level for this job opening is Experienced and is accepting Romania based applicants remotely. Read complete job description before applying.
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IT Application Monitoring and Observability team is global Eurofins team that provides knowledge on operation of IT Systems and IT Infrastructure. Over 62K+ Eurofins employees relies on services that we are providing to conduct their daily operation. From basic application availability monitoring, through complex process analysis ending on advanced statical and ML/AI methods to proactively counteract any unexpected events that can negatively impact the bussies. Handling over 3TB of data daily our goals is to collect, process, and visualize data to provide knowledge in easy and understandable way to the end users.
Your responsibilities:
- You will take ownership of complex tasks.
- You will guide and lead execution of engineering tasks.
- You will take part in monitoring requirements elicitation and maintain team’s backlog.
- You will contribute to Architectural Decision Records (ADRs).
- You will handle feasibility studies and proof of concepts.
- You will be consulting developed and delivered solution with Security department.
- You will be reporting directly to Program Leader.
Requirements:
- Experience building and operating cloud infrastructure and applications on Azure using IaC with Terraform.
- Skills in applying DevOps principles, especially deploying, monitoring, and operating containerized applications using Docker, Kubernetes, GitOps, and CI/CD.
- Experience in working with NO-SQL database (Elasticsearch with LogStash is a must).
- Knowledge in securing IT environments (SSL, certificate management, security concepts like encryptions, hashing etc.)
- Development skills (scripting level in bash, basic Python is nice to have)
- Familiarity with any modelling languages (ex. C4, UML, ArchiMate)
- Data visualization and data story telling techniques.
- Experience in design and maintaining data pipelines for data analytics.
- Mathematical (statistical) background is an advantage.
- Understanding of Azure services (Virtual Machines, Active Directory, Firewall, Application Gateway, Log Analytics).
- Understating of auto scaling concepts.
- Familiarity with Azure Data Services.
Our technological stack:
- Elastic Stack (especially: Beats, LogStash, Elasticsearch)
- MS SQL Server
- Octopus
- Grafana
- Programming languages (Python, C#.NET, Ruby)
- Modelling language: C4
- Environment: Barebones docker and Azure Cloud (AKS)
Our standard benefits:
- Additional variable annual compensation up to 1 monthly net salary
- Meal tickets
- Reimbursement of gym membership
- Medical and life insurance
- 25 days of annual leave + 1 day off on your birthday
- Additional days off for company loyalty
- Remote work activity.