Principal Data Engineer / Architect - Individual Contributor
Bangalore, INDIA
R
INR 3200K-4580K (estimate) Senior-level Full Time
Tasks
- Apply cost optimization for data systems
- Build MLOps workflows
- Build distributed compute and storage systems
- Design AI data infrastructure patterns
- Design data platform architecture
- Develop data pipelines
- Drive engineering excellence initiatives
- Evaluate and adopt emerging data technologies
- Implement data models and governance
- Implement data security and compliance
- Integrate AI frameworks into pipelines
- Optimize pipeline and system performance
- Orchestrate data processing workflows
- Troubleshoot data platform issues
Perks/Benefits
- N/A
Skills/Tech-stack
AI Agent framework | AWS | Agent Framework | Airbyte | Alerting | Apache Airflow | Azure | CI/CD | Context Management | Cost Optimization | Data Architecture | Data Compliance | Data Governance | Data Ingestion | Data Modeling | Data Pipelines | Data Quality | Data Security | Data Transformation | Data orchestration | Databricks | Databricks Lakehouse | Distributed Computing | Distributed Storage | GCP | Infrastructure as Code | Java | Knowledge graph | Kubernetes | Langchain | Langgraph | MLflow | Metadata Management | Monitoring | Mosaic AI | Mosaic AI Agent Framework | Observability | Performance Tuning | Python | SQL | Scala | Semantic layer | Snowflake | Streaming Infrastructure | Terraform | Unity Catalog | Vector Search | “as-code”
Education
N/A
Roles
Data Engineer | Engineer | Principal | Principal Data Engineer
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