Data Engineer
Tasks
- Automate model deployment workflows using IaC
- Build data pipelines for generative AI and LLM usage
- Collaborate on agentic AI systems
- Implement CI CD pipelines for cloud native deployments
- Manage data lake and warehouse datasets
- Model query and load large scale datasets
- Monitor AI systems post deployment for reliability and scalability
- Monitor tune and maintain data stores
- Perform performance tuning for AI and data workloads
- Stay current on AI/ML trends and tools
- Write clean code and documentation for reproducible development
Perks/Benefits
- Dental insurance
- Family leave
- Health insurance
- Life insurance
- Long-term disability
- Paid time off
- Retirement plan
- Short-term disability
- Training and development
- Vision insurance
- Wellness resources
Skills/Tech-stack
AWS Bedrock | AWS Bedrock Agents | AWS CDK | AWS Glue | AWS S3 | Amazon EBS | Amazon Glacier | Amazon RDS | Anthropic | Anthropic API | Bedrock Agents | Bedrock Knowledge Base | CI/CD | CloudFormation | Container Orchestration | CrewAI | Data Lake | Data Warehouse | Databricks | Docker | ELT | ETL | Elasticsearch | Embeddings | Faiss | FastAPI | Gemini | Gemini API | GitHub | GitLab | Hugging Face | Infrastructure as Code | Jenkins | Kafka | Knowledge Base | Kubernetes | Langchain | Langgraph | Medallion Architecture | NoSQL | OpenAI | OpenAI API | OpenSearch | PGVector | Pandas | Pinecone | PySpark | Pydantic | Python | RAG | SQL | Snowflake | Terraform | Vector Databases | Vertex AI | “as-code”
Roles
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