Keppel Corp is seeking an AI Platform Engineer to develop and maintain scalable data pipelines, leveraging Python and AWS services while collaborating with analytics and business teams. The role emphasizes strong integration with AI platforms and requires experience with various AWS services to improve data accessibility and drive data-driven decision-making
Job Summary
Develop, maintain scalable data pipelines and builds out new integrations to support continuing increases in data volume and complexity.
Develop and maintain scalable, optimized data pipelines leveraging Python and AWS services to support increasing data volume and complexity, while ensuring seamless integration with AI platforms like Bedrock and Google.
Further enhance data accessibility and drive data-driven decision making by collaborating with analytics and business teams to refine data models for business intelligence tools.
Matching Summary
Match Score: 85
Keppel Corp is seeking an AI Platform Engineer to develop and maintain scalable data pipelines, leveraging Python and AWS services while collaborating with analytics and business teams. The role emphasizes strong integration with AI platforms and requires experience with various AWS services to improve data accessibility and drive data-driven decision-making.
Skills & Requirements
Must-have
Python
AWS services
scalable data pipelines
AI platforms integration
data models for BI
Nice-to-have
collaboration with business teams
code reviews
data engineering best practices
Key Requirements
Develop, maintain, and optimize scalable data pipelines using Python and AWS services (e.g., S3, Lambda, ECS, RDS, SNS/SQS, Vector DB).
Develop unit and integration tests and contribute to engineering documentation.
Collaborate with analytics and business teams to improve data models for business intelligence.
Work closely with frontend and backend engineers, product managers, and analysts to ensure successful project delivery.
Participate in code reviews and contribute to the improvement of data engineering best practices.