DevOps Data Engineer (Digital Marketing sphere)
Core
Build, operate, and scale containerized data infrastructure and pipelines on Kubernetes and Linux-based systems.
Role type
DevOps Data Engineer
Builds
Containerized data infrastructure, batch and streaming data pipelines
Domain
Digital Marketing / Data Infrastructure
Deliverable
production ML models | infrastructure
Required skills
Kubernetes, Linux administration, Python scripting, distributed systems concepts, CI/CD, cloud platforms (AWS)
Preferred skills
Spark, GitOps tools (ArgoCD/Flux), NoSQL databases (Redis/Elasticsearch/MongoDB), Data Engineer background
Technologies
Kubernetes, Linux, Spark, Python, AWS, GitLab, GitHub
Responsibilities
Build and scale containerized data infrastructure; Work with distributed data processing engines (Spark); Develop automation scripts and internal tooling; Improve reliability and observability of distributed systems; Support infrastructure operations and troubleshooting
Seniority
Mid-level, hands-on IC
