AWS Data Engineer - Lakehouse & Data Pipeline Architect

Rapsys Technologies Pte Ltd.; Singapore; On-site; SGD 90,000 - 130,000; Full time

Job summary

Rapsys Technologies Pte Ltd. in Singapore is seeking an AWS Data Engineer to design, build, and maintain robust data pipelines on AWS. The role focuses on end-to-end data lake/lakehouse architectures, ingestion, transformation, and governance, with emphasis on security and scalable operations.

You will collaborate with cross-functional teams to deliver reliable data solutions, optimize costs, and ensure robust data quality across platforms in a fast-paced environment.

Qualifications

• Strong SQL and scripting skills (Python or Scala) required.
• Hands-on experience with core AWS data services and data lake architectures.
• Experience designing and implementing data pipelines, batch and streaming.

Responsibilities

• Design and architect end-to-end AWS Data Lake and Lakehouse solutions.
• Develop and deploy data ingestion pipelines and transformations.
• Implement security controls and governance for data assets.
• Monitor, optimize, and maintain data pipelines and catalogues.

Skills

SQL

Python/Scala

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 maintain robust data pipelines on AWS. The role focuses on end-to-end data lake/lakehouse architectures, ingestion, transformation, and governance, with emphasis on security and scalable operations.

You will collaborate with cross-functional teams to deliver reliable data solutions, optimize costs, and ensure robust data quality across platforms in a fast-paced environment.