AI & Data Engineer

KNOWLEDGE COMPUTERS PTE. LTD.; Singapore; On-site; SGD 90,000 - 140,000; Full time

Job summary

Knowledge Computers Pte. Ltd. in Singapore is seeking an experienced Data Engineer to design, develop, and maintain scalable data pipelines for ingestion, transformation, and delivery.

You will build robust ETL/ELT workflows and work with AWS services. You will collaborate with Data Scientists and business stakeholders to support analytics and AI/ML initiatives, implement monitoring and governance, and contribute to CI/CD and Infrastructure-as-Code.

Qualifications

• 5+ years of data engineering experience in cloud environments.
• Strong expertise across AWS, Azure, and/or GCP.
• Hands-on with Snowflake and Databricks.
• Proficient Python engineering and software fundamentals.
• Experience leading delivery workstreams and mentoring engineers.
• Experience designing AI/ML data platforms.
• Knowledge of model monitoring and observability.
• Excellent stakeholder management and communication.
• Ability to align technical solutions with business outcomes.

Responsibilities

• Design, develop, and maintain scalable data pipelines for ingestion, transformation, and delivery.
• Build and automate ETL/ELT workflows to improve efficiency, reliability, and scalability.
• Develop data solutions using AWS services such as S3, Glue, Redshift, EMR, Athena, and Lambda.
• Work with Data Scientists and business stakeholders to support analytics, reporting, and AI/ML initiatives.
• Implement monitoring, logging, and data quality processes to ensure reliable data delivery.
• Maintain data governance, security, and compliance with organisational policies and relevant regulations.
• Contribute to CI/CD, Infrastructure-as-Code, and automation initiatives to improve engineering practices.
• Document data pipelines, architecture, and technical processes.

Skills

Data pipeline design

Python engineering

Cloud architecture

Stakeholder communication

Mentoring engineers

Education

Bachelor's degree in Computer Science or related field

Tools

AWS

Azure

GCP

Snowflake

Databricks

Terraform

Job description

Responsibilities

• Design, develop, and maintain scalable data pipelines for ingestion,transformation, and delivery.
• Build and automate ETL/ELT workflows to improve efficiency, reliability,and scalability.
• Develop data solutions using AWS services such as S3, Glue, Redshift,EMR, Athena, and Lambda.
• Work with Data Scientists and business stakeholders to support analytics,reporting, and AI/ML initiatives.
• Implement monitoring, logging, and data quality processes to ensurereliable data delivery.
• Maintain data governance, security, and compliance with organisationalpolicies and relevant regulations.
• Contribute to CI/CD, Infrastructure-as-Code, and automation initiativesto improve engineering practices.
• Document data pipelines, architecture, and technical processes.

Requirements

• Minimium 5 years of experience in Data Engineering and modern cloud dataplatforms.
• Strong expertise across AWS, Azure, and/or GCP ecosystems.
• Extensive experience with Snowflake and Databricks.
• Strong Python engineering skills and software engineering fundamentals.
• Experience leading technical delivery workstreams and mentoringengineers.
• Experience designing and implementing AI and ML data platforms.
• Experience implementing model monitoring and observability capabilities.
• Strong stakeholder managementand communication skills.
• Ability to align technical solutions with business outcomes.