Description

You design and maintain data infrastructure, build intelligent models, and create dashboards that integrate AI into business workflows.

This role is hybrid.

Responsibilities

• Integrate and process structured and unstructured data from diverse sources.
• Build, deploy, and integrate intelligent models and generative AI solutions using AWS SageMaker and Bedrock.
• Design reports, charts, and dashboards using Power BI to visualize data findings.
• Communicate data insights and technical findings to both technical and non-technical stakeholders.
• Maintain data lakes within AWS environments and ensure efficient data pipeline operations.

Required Skills

• 5+ years of experience writing Python for data processing and model integration.
• 5+ years of experience building and managing data pipelines.
• 3+ years of experience working with Data Lakes within an AWS environment.
• 3+ years of experience with reporting tools, specifically Power BI.
• 2+ years of experience with SQL for data querying and manipulation.
• 2+ years of experience using AWS SageMaker or similar model training platforms.
• Knowledge of major cloud service providers, including AWS and Azure.
• Proficiency in Python, Power BI, SQL, AWS, Azure, SageMaker, Bedrock, and Kiro.

Preferred Skills

• Prior experience with AWS Bedrock and QuickSight or similar generative AI and visualization tools.

Key Skills

Education

Any Gradute