Staff Data Engineer
Bengaluru, INDIA, India
INR 2520K-4500K (estimate) Senior-level Full Time Found 6d ago
Tasks
- Build and maintain data pipelines
- Create automated monitoring for data drift and model performance
- Design scalable and reliable data systems
- Develop platforms for ML model experimentation and deployment
- Ensure compliance, security, and traceability in ML lifecycle
- Identify and address data quality and system gaps
- Mentor engineering teams
- Partner with AI/ML teams to accelerate model deployment
- Provide self-service tooling for data scientists
Perks/Benefits
- N/A
Skills/Tech-stack
AI tools | AWS EMR | Analytical Solutions | Automation | Beam | BigQuery | CD pipelines | CI/CD | CI/CD pipelines | Cloud analytical solutions | Data Pipelines | Data Storage | Data storage technologies | Databand | Dataflow | Dataproc | Deequ | Delta Lake | Docker | End to End | End-to-end analytics | Feature Store | Flink | Generative AI | Glue | Great Expectations | Hadoop Ecosystem | Hive | Iceberg | Java | Kubeflow | Kubernetes | Language Models | Large Language Models | Large Scale Data | Large-scale Data Pipelines | MLflow | Monte Carlo | Python | Real Time | Real-time Inference | Redshift | SageMaker | Scala | Snowflake | Spark | Storage technologies | Streaming Architecture | Vertex AI
Education
Roles
Language: en |
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