Data Engineering

Project Description:

Join a team focused on backend and data engineering for headend applications at a leading video content provider. This role emphasizes Python-based services, AWS data workflows, and integration with AI/LLM frameworks to enable advanced media processing capabilities.

Mandatory Skills Description:

Strong Python development experience. Expertise in SQL and NoSQL databases (key-value datastores, and 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.

Responsibilities:

Design and develop backend and data pipelines using Python. Development 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.