- Singapore
Kerja Sepenuh Masa Data Engineer - #1643, Gaji tinggi SGD 10,000 di JOBSTER PRIVATE LTD. - Maukerja
Kongsi
Simpan
Lokasi Kerja
Penerangan Kerja
Tanggungjawab
Role Overview
This role is responsible for designing, building, and deploying a scalable and reliable
data lakehouse platform on AWS
. The Data Engineer will architect end-to-end data pipelines, establish data quality frameworks, and deliver production-ready solutions that form the foundation of the organisation's data infrastructure.
Key Responsibilities
Data Pipeline & Architecture Design
Design and implement scalable ETL/ELT pipelines using AWS services including Glue, Step Functions, Lambda, and S3. Architect and build data lakehouse solutions leveraging Apache Iceberg or S3 tables, incorporating features such as schema evolution, partition evolution, and ACID transactions. Ensure pipelines are optimised for performance, cost, and reliability at scale.
Data Quality & Governance
Define, implement, and maintain automated data quality validation frameworks, establishing metrics and monitoring to ensure data accuracy, completeness, and consistency. Enforce data governance standards and ensure compliance across the data platform.
Application Development & Deployment
Write production-quality code and deploy solutions on AWS cloud infrastructure. Work with DevOps practices including CI/CD pipelines and infrastructure-as-code tools such as Terraform or CloudFormation to ensure repeatable and auditable deployments.
Collaboration & Handover
Work closely with cross-functional teams and communicate technical designs clearly to non-technical stakeholders. Produce thorough technical documentation to support the handover of developed solutions to the Day 2 operations team.
Qualifications & Experience
A degree in Computer Science, Data Engineering, Information Systems, or a related field is required.
At least 3–5 years of experience in data engineering, ETL/ELT development, or data platform roles is expected.
Strong hands-on experience with AWS services and proficiency in Apache Iceberg or similar open table formats is essential.
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.
Skills & Competencies
Data Engineering & Architecture — Ability to design and build scalable, reliable data pipelines using modern data lakehouse architectures including Apache Iceberg and S3 tables.
Data Quality & Governance — Strong proficiency in defining, measuring, and monitoring data quality metrics, implementing automated validation frameworks, and ensuring compliance with governance standards.
Application Development — Skilled in writing production-quality code, optimising performance, and deploying solutions on cloud platforms.
Technical Depth — Deep understanding of Apache Iceberg features and S3 table optimisation techniques.
Collaboration & Communication — Ability to work effectively in cross-functional teams and communicate technical concepts clearly to non-technical stakeholders
Jobster Private Ltd
At Jobster Private Ltd, we connect great people with great opportunities. As a trusted recruitment and manpower outsourcing partner in Singapore, we support hundreds of professionals like you across industries—from IT and engineering to finance, customer service, and beyond.
We’re not just about placements—we’re about partnership. Your career matters to us.
Why Join Us
When you join Jobster, you don’t just get a job—you get a team behind you.
Career Growth Support
We help you build your career with meaningful roles, skill development opportunities, and guidance along the way.
Quality Job Openings
We work with reputable companies offering a wide range of roles in IT, tech support, project management, data analysis, and more.
Competitive Salaries
We advocate for you—negotiating fair, competitive salaries and making sure you’re valued for your skills.
Ongoing Care
From onboarding to payroll, performance feedback to career advice—we’re with you throughout your journey, not just at the start.
Trust & Transparency
Licensed by MOM, certified in data protection, and committed to your success.
This role is responsible for designing, building, and deploying a scalable and reliable
data lakehouse platform on AWS
. The Data Engineer will architect end-to-end data pipelines, establish data quality frameworks, and deliver production-ready solutions that form the foundation of the organisation's data infrastructure.
Key Responsibilities
Data Pipeline & Architecture Design
Design and implement scalable ETL/ELT pipelines using AWS services including Glue, Step Functions, Lambda, and S3. Architect and build data lakehouse solutions leveraging Apache Iceberg or S3 tables, incorporating features such as schema evolution, partition evolution, and ACID transactions. Ensure pipelines are optimised for performance, cost, and reliability at scale.
Data Quality & Governance
Define, implement, and maintain automated data quality validation frameworks, establishing metrics and monitoring to ensure data accuracy, completeness, and consistency. Enforce data governance standards and ensure compliance across the data platform.
Application Development & Deployment
Write production-quality code and deploy solutions on AWS cloud infrastructure. Work with DevOps practices including CI/CD pipelines and infrastructure-as-code tools such as Terraform or CloudFormation to ensure repeatable and auditable deployments.
Collaboration & Handover
Work closely with cross-functional teams and communicate technical designs clearly to non-technical stakeholders. Produce thorough technical documentation to support the handover of developed solutions to the Day 2 operations team.
Qualifications & Experience
A degree in Computer Science, Data Engineering, Information Systems, or a related field is required.
At least 3–5 years of experience in data engineering, ETL/ELT development, or data platform roles is expected.
Strong hands-on experience with AWS services and proficiency in Apache Iceberg or similar open table formats is essential.
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.
Skills & Competencies
Data Engineering & Architecture — Ability to design and build scalable, reliable data pipelines using modern data lakehouse architectures including Apache Iceberg and S3 tables.
Data Quality & Governance — Strong proficiency in defining, measuring, and monitoring data quality metrics, implementing automated validation frameworks, and ensuring compliance with governance standards.
Application Development — Skilled in writing production-quality code, optimising performance, and deploying solutions on cloud platforms.
Technical Depth — Deep understanding of Apache Iceberg features and S3 table optimisation techniques.
Collaboration & Communication — Ability to work effectively in cross-functional teams and communicate technical concepts clearly to non-technical stakeholders
Jobster Private Ltd
At Jobster Private Ltd, we connect great people with great opportunities. As a trusted recruitment and manpower outsourcing partner in Singapore, we support hundreds of professionals like you across industries—from IT and engineering to finance, customer service, and beyond.
We’re not just about placements—we’re about partnership. Your career matters to us.
Why Join Us
When you join Jobster, you don’t just get a job—you get a team behind you.
Career Growth Support
We help you build your career with meaningful roles, skill development opportunities, and guidance along the way.
Quality Job Openings
We work with reputable companies offering a wide range of roles in IT, tech support, project management, data analysis, and more.
Competitive Salaries
We advocate for you—negotiating fair, competitive salaries and making sure you’re valued for your skills.
Ongoing Care
From onboarding to payroll, performance feedback to career advice—we’re with you throughout your journey, not just at the start.
Trust & Transparency
Licensed by MOM, certified in data protection, and committed to your success.
Peringatan Penting
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