Teams at Dreamix

Design and implement batch and real-time data ingestion pipelines for a modernized large-scale data platform. Migrate Data Lake and Data Warehouse solutions, build scalable streaming and distributed data processing systems, optimize performance and reliability, support low-latency analytics, ensure data quality, and contribute to target architecture and technical decisions.

Own the software product backlog and release process, translating customer and stakeholder needs into prioritized epics and user stories. The role communicates product vision, manages release planning and dates, coordinates sprint commitments with development, QA, and DevOps teams, and validates delivered outcomes. It also requires stakeholder, vendor, and subject matter expert collaboration across international projects and industries.

Maintain Linux systems, Azure cloud infrastructure, containerized workloads, AKS, and web servers. Design and optimize CI/CD pipelines with Jenkins and GitLab, provision infrastructure through Terraform, and automate configuration using Ansible, Python, and Bash. Manage Git-based source control and implement Grafana and Prometheus monitoring. Collaborate with development and technical teams to improve reliability, deployment processes, automation, and engineering efficiency.