Senior Data Engineer: AWS Lakehouse & Data Quality Lead

Xtremax

Singapore

On-site

SGD 150,000 - 190,000

Full time

6 days ago

Be an early applicant

Application generator

Turn this role into an interview — a resume and cover letter built around what this employer wants.

Get past ATS filters

Job summary

Xtremax Pte Ltd in Singapore is seeking an experienced Data Engineer to design and build a scalable data lakehouse platform on AWS. You will work across data architecture, pipeline engineering, data quality, governance, and cloud deployment to deliver production-ready solutions that form the foundation of a modern data platform.

You will work hands-on with AWS Glue, Step Functions, Lambda, and S3, and use Apache Iceberg or S3 Tables.

Qualifications

Degree in Computer Science, Data Engineering, Information Systems, or a related discipline.
8+ years of experience in data engineering, ETL/ELT development, or data platform roles.
Strong hands-on experience designing and building data solutions on AWS.
Experience with AWS services such as Glue, Step Functions, Lambda, and S3.

Responsibilities

Design and implement scalable ETL/ELT pipelines using AWS Glue, Step Functions, Lambda, S3, and related AWS services.
Architect and build data lakehouse solutions using Apache Iceberg or S3 Tables, including schema evolution and ACID transactions.
Optimize data pipelines and lakehouse workloads for performance, cost efficiency, scalability, and reliability.
Design and implement automated data quality validation frameworks covering data accuracy, completeness, and monitoring.
Establish data quality monitoring and governance practices across the data platform.
Develop production-quality code and deploy reliable data solutions on AWS.
Build and maintain CI/CD pipelines and infrastructure-as-code using Terraform or CloudFormation.
Apply DevOps practices to make cloud deployments repeatable, consistent, and auditable.