Principal Data Engineer
Primary location: Hyderabad, India
INR 2500K-4200K (estimate) Senior-level Full Time
Tasks
- Architect scalable data solutions
- Build data platforms using data lake and lakehouse
- Define infrastructure as code and observability
- Design modern cloud native applications
- Develop and govern APIs and microservices
- Drive cloud adoption and modernization on Azure AWS and GCP
- Ensure security through authentication authorization encryption governance and compliance
- Establish engineering standards best practices and roadmaps
- Implement DevSecOps practices with CI CD
- Implement event driven distributed systems
- Integrate GenAI and machine learning into solutions
- Lead architecture design and development of full stack applications and data platforms
- Mentor engineers and provide technical guidance and coaching
- Perform performance tuning and scalability optimization
- Provide technical leadership and conduct architecture reviews
Perks/Benefits
- N/A
Skills/Tech-stack
API | Angular | Apache Spark | Authentication | Authorization | Azure Data | Azure Data Lake | Azure Event | Azure Event Hubs | CI/CD | Compliance | Data Lake | Databricks | DevOps | DevSecOps | Distributed Systems | Docker | ELT | ETL | Encryption | Event Driven | Event Hubs | Event-driven architecture | FastAPI | GenAI | Identity Management | Infrastructure as Code | Java | JavaScript | Kafka | Kubernetes | Machine Learning | Microservices | Observability | Python | REST APIs | React | SQL | Spring Boot | TypeScript | “as-code”
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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