Data Engineering Position
We are seeking a skilled Data Engineer to design and develop robust backend and data pipelines using Python.
This role involves leveraging AWS services such as Glue, Step Functions, and SQS for data workflows + Serverless architecture. The successful candidate will also be responsible for integrating AI/LLM frameworks into production systems.
Key Responsibilities:
* Design and develop backend and data pipelines using Python.
* Develop base on AWS services such as Glue, Step Functions, and SQS for data workflows + Serverless.
* Integrate AI/LLM frameworks (Bedrock, RAG, Agents) into production systems.
* Ensure scalability and reliability of Kubernetes-hosted applications.
* Collaborate with Agile teams and maintain CI/CD pipelines.
Required Skills and 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