Myticas is seeking a senior-level Data Engineer with strong expertise in AWS, Python, and Conversational Analytics to help build secure, scalable, and resilient cloud data solutions. In this role, you will develop knowledgebases and conversational agents that allow business users to interact with data through natural language.
Requirements
- 2+ years of hands-on experience in AWS, including: S3, Athena, Lambda, Step Functions, Redshift Serverless, SageMaker, Bedrock
- Strong Python programming skills (data engineering, automation, API integration)
- Experience building knowledgebases or conversational agents (or equivalent)
- Strong SQL skills and experience with large-scale data environments
- Solid understanding of ETL/ELT orchestration, optimization, and cloud data workflows
- LLM integration into business workflows
- DevOps/Infrastructure-as-Code (Terraform or CloudFormation)
Responsibilities
- Design, build, and optimize scalable data pipelines on AWS
- Implement security, monitoring, and logging best practices across data and AI pipelines
- Develop and maintain knowledgebases and conversational AI agents, integrating structured and unstructured data sources
- Build and support machine learning workflows in SageMaker (training, deployment, monitoring)
- Utilize AWS Bedrock to develop and deploy conversational AI solutions
- Ensure data quality, lineage, and reliability across data and LLM systems
- Build and maintain CI/CD pipelines enabling automated and secure deployments
Other
- Must work in AZ or EST time zones
- Partner with analytics, product, and business stakeholders to deliver data solutions that improve decision-making and accessibility
- Marketing analytics or customer intelligence experience
