What are the responsibilities and job description for the BI Engineer with QuickSight position at Turing IT Labs?
Job Title: Business Intelligence & AI Automation Engineer Amazon Quick Suite / AWS Analytics
Role Overview
We are seeking a skilled Business Intelligence (BI) and AI Automation Engineer with strong expertise in Amazon Quick Suite (including QuickSight) and AWS analytics services to support business teams in building scalable, self-service reporting solutions and intelligent.
Preferred Qualifications
- Hands-on experience with Amazon Quick Suite (Quick Chat, Quick Flows, Quick Automate, Quick Research, Quick Spaces).
- Experience building conversational AI agents, chatbots, or automation workflows.
- Experience with API integrations, webhooks, and enterprise application connectors (Salesforce, ServiceNow, Slack, Jira).
- Experience building QuickSight templates, themes, and reusable datasets.
- Experience with BI governance and semantic layer design.
- Familiarity with data pipelines and ETL frameworks.
- Knowledge of AWS cost optimization strategies.
- Experience supporting large-scale enterprise reporting environments.
- Experience with other BI tools such as Tableau, Power BI, or Looker.
- Experience with low-code/no-code automation platforms (Zapier, Power Automate, Workato).
Key Skills
- Amazon Quick Suite (QuickSight, Quick Chat, Quick Flows, Quick Automate, Quick Research)
- SQL & Data Modeling
- AWS Analytics Stack
- Dashboard Design
- AI Agent Design & Configuration
- Workflow Automation & Business Process Optimization
- BI Architecture
- Self-Service Analytics Enablement
- Performance Optimization
- Cost Optimization
- API Integration & Enterprise Connectors
- Stakeholder Communication