Your impact
Responsibilities:
- Design, develop, and optimize data architectures that support AI and Machine Learning workflows
- Integrate large-scale datasets from multiple sources to ensure consistency, accessibility, and performance
- Build scalable, automated data pipelines to support real-time and batch data processing
- Utilize AWS ETL services such as AWS Glue, Lambda, and Data Pipeline to manage data ingestion, transformation, and integration tasks
- Collaborate with data scientists and ML engineers to ensure data infrastructure aligns with AI/ML model requirements
- Monitor and maintain data workflows to ensure reliability, scalability, and cost-efficiency
- Continuously improve data engineering practices to support evolving AI/ML use cases and business needs
