Principal Engineer, Data Analytics Engineering (Data Engineering , GenAI , Python , SQL)
Bengaluru, KA, India
INR 2500K-5000K (estimate) Senior-level Full Time
Tasks
- Architect AI ML and GenAI solutions on AWS
- Define AWS cloud native architectures
- Design data pipelines ETL ELT frameworks and data models
- Establish coding standards and DevOps MLOps best practices
- Evaluate and adopt emerging AI data engineering technologies
- Implement data governance security controls for AI workloads
- Lead GenAI application prototyping and deployment
- Mentor engineers and data professionals
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | AWS Glue | AWS Lambda | Airflow | Amazon Bedrock | Amazon EKS | Amazon EMR | Amazon Redshift | Amazon SageMaker | Anthropic API | Apache Kafka | Apache Spark | CI/CD | DBT | Databricks | Docker | Generative AI | Graph Databases | Hugging Face | Kubeflow | Kubernetes | LLM | LLMOps | Langchain | Langsmith | MLOps | MLflow | Machine Learning | Neo4j | OpenAI API | PGVector | Pinecone | Python | RAG | S3 | SQL | Snowflake | Vector Databases | Weaviate
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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