I
Inetum
Data Engineer
Data Engineer: Multi-stack
On-siteSeniorData Engineerposted 14mo ago
Role summaryAI-generated
This role demands expertise in designing and maintaining complex data pipelines with Airflow and multi-language proficiency, while integrating cloud-native tools like Kubernetes and Docker into scalable architectures. Candidates should balance deep technical skills in distributed systems with practical CI/CD and security best practices for enterprise-grade data workflows.
Skills required
About this role
Essential:
- Data pipeline and data processing (master/expert)
- AirFlow orchestrator (master)
- Programming Languages and development: Python or Java (Spring Boot, Spring Batch) (intermediate/master in 1 language as a software developer)
- KSH, SQL (development)
- Web services such as REST (specifications and API management) (proficient)
- Toolchain CI/CD (principle, tools, automated test...)
- English (C1)
- Basic knowledges (principles) as a software developer / data engineer:
- DevOps tools: Jenkins, GitLab CI/CD
- Security rules and protocols
- Exchange file protocols (CFT)
- Distributed architecture
- Cloud environment (pod, Docker, Kubernetes)
- Relational database (Oracle, Exadata, SQL)
Apply on Inetum →Opens in new tab
score your resume against this role
Similar open roles
C
NEWSoftware Engineering - Data, Lakehouse and AI Data Platform Engineer-Bangalore-Associate
On-siteJuniorData Engineer
yesterday
