Data Engineer - Toa Payoh

apartmentKeppel Corporation placeToa Payoh scheduleFull-time calendar_month14/5/25

Job Description

Develop, maintain scalable data pipelines and build 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
Develop, maintain, and optimize scalable data pipelines using Python and AWS services (e.g., S3, Lambda, ECS, EKS, RDS, SNS/SQS, Vector DB)
Rapidly developing next-generation scalable, flexible, and high-performance data pipelines
Collaborate with analytics and business teams to create and improve data models for business intelligence
End-to-end ownership of data quality in our core datasets and data pipelines
Participate in code reviews and contribute to DevOps / DataOps / MLOps

Job Requirements

Bachelor's degree in Computer Science, Engineering, or a related field
2-3 years of experience in data engineering or a similar role
Strong programming skills in Python, SQL, AWS and related tech stack
Experience with building scalable data pipelines with technologies such as Glue, Airflow, Kafka, Spark etc.
Experience using Snowflake, DBT, Bedrock is a plus
Good understanding of basic machine learning concepts (Sagemaker)

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