Principal Data Engineer Data Technology
Pune, Maharashtra, India
R
INR 3000K-4000K (estimate) Senior-level Full Time
Tasks
- Apply infrastructure as code
- Champion devsecops practices
- Collaborate with architecture and cybersecurity stakeholders
- Define data provisioning standards
- Develop metadata driven controls
- Drive hybrid cloud observability and performance engineering
- Enable CI/CD
- Guide implementation of data pipelines and APIs
- Implement automated testing frameworks
- Lead peer reviews for platform consistency and compliance
- Mentor senior engineers
- Optimize cost and scalability
- Provide architecture guidance for data platforms
- Represent domain in architecture forums
- Support event-driven architecture
Perks/Benefits
- N/A
Skills/Tech-stack
APIs | AWS | Apache Spark | CI/CD | Cloud platform | Containers | Cost Optimization | Data Engineering | Data Governance | Data Lakehouse | Data Management | Data Pipelines | Data mesh | DevSecOps | Docker | Event Driven | Event-driven architecture | Feature Store | GCP | Google Cloud | Google Cloud Platform | Hierarchy Management | Infrastructure as Code | Kafka | Metadata Management | Observability | Orchestration | Performance Engineering | Real Time | Real-time Systems | Reference Data | Reference Data Management | Resilience Engineering | Scalability | Spring Framework | Terraform | Time Systems | “as-code”
Education
N/A
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