Principal Engineer, Data Analytics Engineering (Data Engineering , GenAI , Python , SQL)
Bengaluru, KA, India
INR 3125K-4500K (estimate) Senior-level Full Time Found 6d ago
Tasks
- Collaborate with stakeholders to deliver technical solutions
- Design scalable AI/ML and GenAI solutions on AWS
- Develop data pipelines, ETL/ELT frameworks, data models
- Establish coding standards, DevOps/MLOps practices, and data governance
- Evaluate emerging AI and data tech
- Implement cloud-native architectures using AWS services
- Lead exploration and deployment of GenAI applications
- Mentor engineers and data professionals
Perks/Benefits
- N/A
Skills/Tech-stack
AI/ML | AWS | Airflow | Anthropic APIs | Bedrock | CI/CD | DBT | Data Engineering | Data Security | Databricks | Docker | EKS | EMR | GenAI | Glue | Go | Governance | Graph Databases | Hugging Face | Java | Kafka | Kubeflow | Kubernetes | Lambda | Langchain | Langsmith | MLOps | MLflow | OpenAI APIs | Python | Redshift | S3 | SQL | SageMaker | Scala | Snowflake | Spark | Vector Databases
Education
AI/ML | Bachelor's | Data Engineering | Master's in Computer Science
Roles
Language: en |
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