Data Engineer
# Data Engineer **neutron** · Singapore · `On-site` 🕒 **Статус:** *Опубликовано: 7 дней назад* · *Источник: Indeed* --- ### About the Role Role Overview This role designs, builds and deploys a scalable, 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 schema evolution, partition evolution and ACID transactions. - Optimise pipelines for performance, cost and reliability at scale. Data Quality & Governance - Define, implement and maintain automated data quality validation frameworks, with 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. - Apply DevOps practices — CI/CD pipelines and infrastructure-as-code tools such as Terraform or CloudFormation — for repeatable, 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 solutions to the Day 2 operations team. Qualifications & Experience - 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 proficiency in 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. Skills & Competencies - Data Engineering & Architecture — design and build scalable, reliable data pipelines using modern data lakehouse architectures including Apache Iceberg and S3 tables. - Data Quality & Governance — define, measure and monitor data quality metrics, implement automated validation frameworks, and ensure compliance with governance standards. - Application Development — write production-quality code, optimise performance, and deploy solutions on cloud platforms. - Technical Depth — deep understanding of Apache Iceberg features and S3 table optimisation techniques. - Collaboration & Communication — work effectively in cross-functional teams and communicate technical concepts clearly to non-technical stakeholders. Pay: $7,000.00 - $9,000.00 per month Work Location: In person
Наблюдалась 2026-10-06, впервые 2026-09-29, источник — Indeed.