Backend Data Engineer
Transform data into actionable insights by designing and developing scalable backend systems using Python and AWS services.
This role focuses on creating efficient data pipelines, integrating AI/LLM frameworks, and ensuring reliability in Kubernetes-hosted applications.
* Develop backend services using Python and deploy them on AWS.
* Design and implement data workflows using Glue, Step Functions, and SQS.
* Integrate AI/LLM frameworks (Bedrock, RAG, Agents) into production systems.
* Collaborate with Agile teams to ensure seamless CI/CD pipeline execution.
Key Skills:
AWS
Python
SQL and NoSQL databases
AI/LLM frameworks integration
Kubernetes and CI/CD expertise
Microservices architecture
Event-driven design
Strong system design skills for distributed environments
Required Qualifications:
- Strong Python development experience.
- Expertise in SQL and NoSQL databases (key-value datastores, document storage).
- Expertise in AWS services (Glue, Step Functions, SQS, Lambda, S3).
- Knowledge of AI/LLM frameworks and integration patterns.
- Familiarity with MQTT/WebSockets for real-time communication.
- Proficiency in microservices and event-driven architecture.
- Kubernetes and CI/CD expertise.
- Strong system design skills for distributed environments.
-English: B2