Data Platform Engineer
Core
Design, develop, and enhance cloud-native data solutions and IT systems to power global business capabilities using Azure.
Role type
Senior Data Platform Engineer
Builds
Cloud-native data solutions, data pipelines, and analytics workflows on Azure
Domain
Consumer Goods / Cloud Data Engineering
Deliverable
production ML models | infrastructure
Required skills
Azure, Python, Docker, Kubernetes, Helm, Istio, Terraform, Apache Airflow, CI/CD, DevOps
Preferred skills
Data pipeline development, ETL/ELT, workflow orchestration, infrastructure as code
Technologies
Azure, Docker, Kubernetes, Helm, Istio, Terraform, Apache Airflow, Azure DevOps, GitHub Actions, SonarQube, Grafana, Prometheus
Responsibilities
Support Data & Analytics applications through the full lifecycle; Write and test infrastructure code and build cloud-native Azure solutions; Develop and maintain data pipelines and data engineering workflows; Design and implement data ingestion, transformation, and integration processes; Ensure data quality, consistency, and availability; Use Apache Airflow to orchestrate, schedule, and monitor data workflows; Investigate and resolve technical, integration, and performance issues; Contribute to platform improvements, documentation, and engineering best practices
Seniority
Senior, hands-on IC