AWS Data Engineer: Lakehouse Architect in Singapore

Tap Growth ai; Singapore; On-site; SGD 90,000 - 140,000; Full time

Job summary

Tap Growth ai is hiring an AWS Data Engineer in Singapore to design, build, and maintain robust data pipelines on AWS. You will collaborate with cross‑functional teams to solve complex data challenges and drive data-driven decisions.

You will work on end‑to‑end data lake/lakehouse architecture, ingestion pipelines with AWS services, and governance across data security and lifecycle policies, with a focus on performance and cost efficiency.

Qualifications

• 3–5 years in data engineering, data architecture, or cloud infra roles.
• Hands-on with core AWS data services: S3, Glue, Redshift, Lambda, Kinesis, Step Functions, EventBridge, AppFlow, Lake Formation.
• Strong proficiency in SQL and at least one scripting language (Python or Scala).
• Experience designing and implementing Data Lake or Lakehouse architectures.
• Solid understanding of data governance, data cataloguing, and metadata management.
• Experience with batch and streaming data processing patterns.
• AWS Certified Data Engineer – Associate or AWS Certified Solutions Architect certification (or equivalent).

Responsibilities

• Design end-to-end AWS Data Lake and Lakehouse architecture, including landing, transformed, and curated zones.
• Develop and deploy data ingestion pipelines using AWS Glue, Lambda, Step Functions, and API Gateway.
• Build and maintain data transformation workflows (batch and streaming) with AWS Glue and Redshift.
• Implement data security policies using Lake Formation, IAM, and Secrets Manager.
• Monitor platform health, troubleshoot pipeline issues, and optimise performance and cost on AWS.

Skills

SQL

Python/Scala

Data lake design

Batch & streaming

Data governance

Education

AWS Certified Data Engineer – Associate

AWS Certified 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

Tap Growth ai is hiring an AWS Data Engineer in Singapore to design, build, and maintain robust data pipelines on AWS. You will collaborate with cross‑functional teams to solve complex data challenges and drive data-driven decisions.

You will work on end‑to‑end data lake/lakehouse architecture, ingestion pipelines with AWS services, and governance across data security and lifecycle policies, with a focus on performance and cost efficiency.