Data Platform Engineer

at Nord Security
📍 Vilnius, Lithuania
📍 Kaunas, Lithuania
EUR 40,800-76,200 per year
MIDDLE SENIOR
✅ Hybrid

SCRAPED

Used Tools & Technologies

Not specified

Required Skills & Competences ?

Customer Acquisition @ 3 Marketing @ 3 Ansible @ 3 Docker @ 3 Grafana @ 3 Kubernetes @ 3 Prometheus @ 3 DevOps @ 5 IaC @ 3 Terraform @ 3 GCP @ 3 dbt @ 3 Airflow @ 3 CI/CD @ 3 ArgoCD @ 3 AWS @ 3

Details

The Marketing department aims to encourage the world to be as enthusiastic about our products as we are. We have more than twenty different teams with specific areas of focus. Our teams are sharp, highly skilled, and data-driven, focusing on customer acquisition and monetization initiatives.

Are you passionate about building scalable solutions that drive impactful business decisions? Do you thrive in a fast-paced environment where innovation and collaboration are at the core of what we do? We’re looking for a talented and experienced Data platform engineer to join our team and help shape the future of our data infrastructure that empower our organization to unlock the full potential of data.

Responsibilities

  • Develop and maintain the data platform to enable other teams to work with data;
  • Collaborate with data engineers, analysts, and other stakeholders to understand their data needs and provide solutions;
  • Configure, monitor, and maintain applications running on Kubernetes clusters, ensuring scalability and availability;
  • Design, implement, and maintain CI/CD pipelines for seamless code deployments;
  • Create monitoring and alerting solutions;
  • Manage and optimize cloud infrastructures;
  • Implement best practices in cloud environments, pipelines, and deployments.

Requirements

  • 3+ years of experience in a role in Site Reliability/DevOps/Platform Engineering;
  • Knowledge in Docker, Kubernetes, CI/CD Pipeline (GitLab CI/ArgoCD) and IaC (Terraform, Ansible);
  • Experience with AWS/GCP;
  • Proven ability to debug and resolve performance and deployment issues;
  • Familiarity with application lifecycle management, containerized environments and container secure practices;
  • Ability to define and deploy monitoring, metrics, and logging systems;
  • Pro-activity and high attention to details.

Tools you will use

  • Kubernetes;
  • ArgoCD;
  • GitLab;
  • GitLabCI;
  • Docker;
  • Grafana;
  • Prometheus;
  • AWS services.

Bonus points for

  • Experience with Airflow, Airbyte or dbt.