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Platform Engineer (Analytics Platforms)
Teknologji Informacioni (IT)Tiranë3 javë më parëFull Time
About the job
Step into a role where you build the foundation that powers data-driven decisions across the entire organization.
As a Platform Engineer focused on analytics platforms, you'll design, develop, and maintain the infrastructure and tooling that data teams rely on every day. Your work will involve automating deployments, optimizing platform performance, and ensuring the reliability and scalability of analytics environments.
You'll collaborate closely with data engineers, analysts, and stakeholders to deliver solutions that make working with data faster and smoother. This position offers constant exposure to modern technologies and the chance to sharpen your skills in cloud infrastructure, automation, and data systems.
It's an ideal opportunity for someone who enjoys solving complex technical challenges and seeing the direct impact of their work on how a company operates.
Tasks
- Platform Design & Architecture: Design, implement, and maintain scalable and reliablepipelines, containerization, and cloud environments.to provision, scale, and manage infrastructure.
- Utilize Infrastructure as Code (IaC) , tools like Terraform to automate provisioning.
- Cloud Management & Infrastructure Automation: Leverage cloud technologies (Azure).
- Infrastructure solutions for our software development lifecycle, including CI/CD.
- Collaborate with data engineers, data scientists, and application teams to integrate data ingestion, transformation, and AI/ML workflows into the platform.
Benefits
- Special deals with selected partners
- Hybrid working possible
- Mentoring
- Flexible working hours
- Employee events
- Vacation / Christmas bonus
Requirements
- Bachelor’s degree in Computer Science, Information Technology, or a related field.
- Proven experience in designing, managing, and optimizing cloud-based data platforms, particularly within Microsoft Azure.
- Experience with automation tools and scripting languages (e.g., Terraform, Python, Bash).
- In-depth knowledge of CI/CD pipelines and DevOps practices applied to data platforms (e.g., Azure DevOps).
- Solid understanding of cloud networking, security, and data governance in Azure environments.
- Experience with monitoring, logging, and observability tools for data platforms.
- Strong understanding of data architecture principles.
- Excellent problem-solving skills and the ability to work in a fast-paced, collaborative, data-driven environment.