AI Platform Engineer

Keppel People Services Pte Ltd; Singapore; On-site; SGD 60,000 - 90,000; Full time

Job summary

A leading company in the data engineering field is seeking a Data Engineer to develop and optimize data pipelines while collaborating across teams. This role focuses on leveraging Python and AWS services to enhance data accessibility and support AI integrations, ideal for professionals with significant experience in data engineering and related technologies.

Qualifications

• 5-6 years of experience in data engineering or a similar role.
• Strong programming skills in Python and AWS.
• Experience with AI services like Bedrock, Google (Gemini), and OpenAI Models.

Responsibilities

• Develop and maintain scalable data pipelines.
• Collaborate with analytics and business teams.
• Participate in code reviews and improve engineering best practices.

Skills

Python

AWS

Collaboration

Problem-solving

Communication

Education

Bachelor's degree in Computer Science, Engineering, or related field

Tools

AWS S3

AWS Lambda

AWS ECS

AWS RDS

AWS SNS/SQS

Vector DB

Job description

JOB DESCRIPTION

• Develop, maintain scalable data pipelines and build 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.

JOB REQUIREMENTS

Requirements

• Bachelor's degree in Computer Science, Engineering, or a related field.
• 5-6 years of experience in data engineering or a similar role.
• Strong programming skills in Python, AWS and related tech stack.
• Excellent communication, collaboration, and problem-solving skills.
• Strong Exposure to work with AI Services like Bedrock, Google (Gemini), and OpenAI Models etc
• 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.

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BUSINESS SEGMENT
CorporatePLATFORM
Operating Division