AWS Data Engineer: Lakehouse Architect (Singapore)

Rapsys Technologies Pte Ltd.; Singapore; On-site; SGD 90,000 - 140,000; Full time

Job summary

Rapsys Technologies Pte Ltd. in Singapore is seeking an AWS Data Engineer to design, build, and optimize data solutions using S3, Glue, Redshift, and related AWS services. You will shape data pipelines, governance, and analytics capabilities to drive business insights.

Join a fast-paced team in Singapore, contributing to end-to-end data lakehouse architecture, ingestion pipelines, and cost-optimized deployments on AWS.

Qualifications

• 3–5 years of experience in data engineering or cloud infra roles.
• Hands-on with core AWS data services: S3, Glue, Redshift, Lambda, Kinesis, Step Functions, EventBridge, AppFlow, Lake Formation.
• Strong SQL skills and scripting (Python or Scala).
• Experience designing Data Lake or Lakehouse architectures.
• Knowledge of data governance, cataloging, and metadata management.
• Experience with batch and streaming data processing patterns.
• AWS Data Engineer certification or Solutions Architect certification (or equivalent).

Responsibilities

• Architecture & Design: Design end-to-end AWS Data Lake/Lakehouse layers and governance standards.
• Development & Deployment: Build data ingestion pipelines with AWS Glue, Lambda, Step Functions, EventBridge, and API Gateway.
• Data Transformation: Create batch/stream processing workflows with AWS Glue and Redshift.
• Security & Governance: Enforce data security policies with Lake Formation and IAM.
• Maintenance & Operations: Monitor platform health and optimize performance and cost on AWS.

Skills

SQL

Python/Scala

AWS data services

Education

AWS Data Engineer Certification (Associate) or Solutions Architect

Tools

Amazon S3

AWS Glue

Amazon Redshift

AWS Lambda

Amazon Kinesis

AWS Step Functions

Amazon EventBridge

AWS AppFlow

AWS Lake Formation

Job description

Rapsys Technologies Pte Ltd. in Singapore is seeking an AWS Data Engineer to design, build, and optimize data solutions using S3, Glue, Redshift, and related AWS services. You will shape data pipelines, governance, and analytics capabilities to drive business insights.

Join a fast-paced team in Singapore, contributing to end-to-end data lakehouse architecture, ingestion pipelines, and cost-optimized deployments on AWS.