Data Lakehouse Engineer — AWS, Iceberg & Pipelines

JOBSTER PRIVATE LTD.; Singapore; On-site; SGD 90,000 - 150,000; Full time

Job summary

JOBSTER PRIVATE LTD. in Singapore is seeking a Data Engineer to design, build, and deploy a scalable data lakehouse on AWS, enabling reliable data infrastructure for the organisation.

You will architect end-to-end data pipelines with AWS Glue, S3, and Iceberg, implement data quality and governance, and deliver production-ready solutions with CI/CD and IaC. A degree in CS/IS and 3–5 years in data engineering are required, GCC experience preferred, AWS certs a plus.

Qualifications

• Degree in Computer Science, Data Engineering, Information Systems, or a related field.
• 3–5 years of experience in data engineering, ETL/ELT development, or data platform roles.
• Strong hands‑on experience with AWS services and Apache Iceberg or similar open table formats.
• Experience in a Government Commercial Cloud (GCC) environment is strongly preferred.
• AWS certifications such as AWS Certified Data Analytics or AWS Certified Solutions Architect are an advantage.

Responsibilities

• Data Pipeline & Architecture Design: Design and implement scalable ETL/ELT pipelines using AWS services including Glue, Step Functions, Lambda, and S3.
• Data Quality & Governance: Define, implement, and maintain automated data quality validation frameworks with metrics and monitoring.
• Application Development & Deployment: Write production‑quality code; deploy on AWS with CI/CD and infrastructure‑as‑code.
• Collaboration & Handover: Communicate designs to non‑technical stakeholders and produce documentation for Day 2 operations.

Skills

Data Engineering & Architecture

Data Quality & Governance

Cloud Development & AWS

Collaboration & Communication

Education

Bachelor's degree in Computer Science / Data Engineering / Information Systems

Tools

Apache Iceberg

S3

Terraform / CloudFormation

Glue / Step Functions / Lambda

Job description

JOBSTER PRIVATE LTD. in Singapore is seeking a Data Engineer to design, build, and deploy a scalable data lakehouse on AWS, enabling reliable data infrastructure for the organisation.

You will architect end-to-end data pipelines with AWS Glue, S3, and Iceberg, implement data quality and governance, and deliver production-ready solutions with CI/CD and IaC. A degree in CS/IS and 3–5 years in data engineering are required, GCC experience preferred, AWS certs a plus.