About The Role
We are hiring an experienced
Data Platform Engineer
to design, develop, and optimize contemporary cloud-based data platforms that power enterprise analytics and business intelligence solutions. You will work with cross-functional engineering teams to build scalable data pipelines, automate infrastructure, and ensure reliable, high-performance data platforms using modern DevOps and cloud technologies.
This is an excellent opportunity for professionals passionate about cloud-native architectures, data engineering, automation, and large-scale analytics platforms.
Key Responsibilities
- Design, develop, and maintain scalable enterprise data platforms.
- Build robust ETL/ELT pipelines for structured and unstructured data.
- Develop and optimize data ingestion, transformation, and integration workflows.
- Build cloud-native data solutions on Microsoft Azure.
- Implement Apache Airflow workflows for orchestration and scheduling.
- Develop infrastructure as code using Terraform.
- Deploy and manage containerized applications using Docker and Kubernetes.
- Implement CI/CD pipelines using Azure DevOps and GitHub Actions.
- Monitor platform health using Grafana and Prometheus.
- Ensure high data quality, security, scalability, and availability.
- Optimize SQL queries and improve overall platform performance.
- Troubleshoot production issues and improve system reliability.
- Collaborate with Data Engineers, Software Engineers, Architects, and Business teams.
- Follow Agile, DevOps, testing, and engineering best practices.
- Create technical documentation and contribute to continuous platform improvements.
Required Skills
- Data Platform Engineering
- Data Engineering
- ETL / ELT Development
- SQL
- Python or Scala
- Microsoft Azure
- Apache Airflow
- Azure