ETL/Data Engineer (Python, Cloud Cost Reporting)

3800-4500 Eur Gross salary range in Latvia

We are looking for a motivated Cloud Cost Data Engineer to design, develop, and maintain automated pipelines for collecting and processing cost telemetry from various cloud platforms (AWS, Azure) and SaaS services, and integrating it into Client’s cost model. The ideal candidate possesses intermediate programming skills in Python, understands REST APIs, can build GitHub Action Pipelines. Сollaborate with DevOps teams to integrate cost controls and reporting into CI/CD pipelines (using GitHub Actions). Experience with data visualization tools like Grafana is a plus.

You will work closely with a strong DevOps and FinOps teams, leveraging their expertise while contributing focused expertise in cloud cost data processing, automation, and reporting. This is a great opportunity to grow as part of a cross-functional team building next-generation cost management solutions using modern cloud technologies.

• Develop and maintain Python scripts and workflows to extract cost telemetry from cloud (AWS, Azure) and SaaS APIs (e.g., GitHub Billing, Docker Hub, AquaSec)
• Normalize, aggregate, and process cost-related data for accurate cost modeling and forecasting
• Automate generation and distribution of cost reports to stakeholders via collaboration tools (e.g., Microsoft Teams)
• Build and implement cost control mechanisms, policies, and automated alerts integrated into CI/CD pipelines (GitHub Actions)
• Collaborate with DevOps team to embed cost management features into existing GitHub Actions pipelines
• Create and maintain advanced cost reporting dashboards in Grafana using API telemetry data
• Support scalability, reliability, and maintainability of ETL and reporting processes

• Intermediate Python programming for data extraction, processing, and automation
• Strong understanding of HTTP protocols and REST API integration
• Basic to intermediate experience building and maintaining GitHub Actions workflows/pipelines
• Version control with Git (GitHub) and CI/CD pipeline integration
• Basic to intermediate understanding of Grafana or similar data visualization tools (for creating dashboards)
• Familiarity with SaaS platforms and their cost telemetry APIs

• Experience with cloud cost management and billing APIs (AWS Cost Explorer, Azure Cost Management, GitHub Billing)
• Knowledge of Go programming language
• Experience with other SaaS APIs (Docker Hub, AquaSec)
• Experience with infrastructure monitoring and cost optimization practices
• Familiarity with additional data visualization libraries and tools (e.g., matplotlib, Plotly, Dash)
• Experience with automated reporting systems (e.g., sending reports to Microsoft Teams via Graph API)