Project Role : Data Engineer
Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems.
Must have skills : DevOps Architecture
Valuable to have skills : AWS AI Services
Minimum 12 year(s) of experience is required
Educational Qualification : 15 years full time education

Agentic / GenAI Engineer

Strands, LangGraph, or CrewAI hands-on
MCP server and tool authoring
A2A protocol, agent registry, cross-agent state
AgentCore runtime — sessions, memory, tool registration
Bedrock Guardrails (ApplyGuardrail API)




OTEL instrumentation for agent traces
Episodic and semantic memory patterns
Agent eval harness design and regression testing

Cloud / Platform DevOps Engineer

Terraform at module-authoring level
GitHub Actions + CodePipeline / CodeBuild
ECS Fargate or EKS
VPC — PrivateLink, Transit Gateway, subnet design
Control Tower and Service Catalog
Datadog + Splunk integration (not just CloudWatch)
ECR cross-account image promotion
AWS Budgets + Cloudability for FinOps

15 years full time education

📌 Data Engineer (Bengaluru)
🏢 Accenture
📍 Bengaluru