
AWS Data Engineer
12 hours ago
As a Senior AWS Data Engineer, you'll architect and operate our serverless data platform—Glue, Step Functions, Lambda, S3, DynamoDB, EC2—while partnering with our AI team to productionize RAG pipelines and LLM-powered services.Core Responsibilities (70%)
- Serverless ETL & Orchestration
- Build, optimize, and maintain AWS Glue jobs for batch ETL
- Orchestrate workflows with Step Functions and Lambda functions
- Data Storage & Access
- Design and tune DynamoDB schemas and S3 storage layouts
- Manage Redshift/Athena data warehouses and query performance
- Compute Provisioning
- Provision and maintain EC2 instances for specialized batch or analytic workloads
- Automate instance lifecycle and security via IaC
- Quality & Monitoring
- Implement data-quality checks with Great Expectations (or similar)
- Configure CloudWatch metrics, dashboards, and alerts for end-to-end visibility
- Infrastructure as Code
- Define and maintain Terraform or CloudFormation modules for all data services
AI Enablement & Deployment (30%)
- RAG Pipeline Integration
- Ingest, embed, index, and retrieve knowledge using Pinecone, Weaviate, or equivalent
- LLM Fine-Tuning & Serving
- Fine-tune models (OpenAI GPT, Anthropic, LLaMA) and deploy endpoints via API Gateway/Lambda or containers
- Develop prompt-engineering workflows and automated evaluation loops
- MLOps Practices
- Build CI/CD for model training and release (AWS CodePipeline, Jenkins, GitLab CI)
- Ensure secure, scalable serving with Docker/ECS or EKS
Must-Have Qualifications
- 4+ years of AWS data engineering: Glue, Step Functions, Lambda, S3, DynamoDB, EC2
- Strong Python (boto3) scripting for automation
- Terraform or CloudFormation expertise
- Hands-on experience integrating RAG workflows or deploying LLM applications
- Solid SQL and NoSQL data-modeling skills
Job Type: Part-time
Pay: ₹100, ₹150,000.00 per month
Expected hours: 25 per week
Experience:
- AWS Glue: 1 year (Preferred)
- AWS Lamda: 1 year (Preferred)
- RAG Pipeline: 1 year (Preferred)
Work Location: Remote
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