Amazon Web Services Singapore Private Limited
Technology
SeniorDataEngineer,SalesInsights,Analytics,DataEngineeringandScience(SIADS)
Neural analysis suggests this role is
optimal for Senior candidates.
“Senior Data Engineer, Sales Insights, Analytics, Data Engineering and Science (SIADS) at Amazon Web Services Singapore Private Limited. Skills: Data engineering, Data analytics platform, Data models, Data pipelines. Own design, development, and maintenance of APJ SIADS'. Build and maintain APJ-specific data models and pipelines”
What You'll Achieve.
Deliver data products that matter; Serve field teams across key verticals and business units; Keep platforms reliable and responsive; Drive key business decisions
Industry & Context.
Troubleshooting
What They're Looking For.
Must Have
8+ years of data engineering experience, Competent in performing data transformation using SQL, Experienced in managing and maintaining data pipelines, Proficient in cloud computing with Infrastructure-as-Code (IaC), Skilled in designing system solutions at scale, Familiar with leveraging AI-assisted coding tools
Nice to Have
Written and verbal communication skills, Knowledgeable in Apache Spark, Proficient in serverless ETL using AWS Glue, Skilled in automating data quality validation
What You'll Do.
and maintenance of APJ SIADS'
Build and maintain APJ-specific data models and pipelines
Ensure alignment between worldwide definitions and APJ business
Validate data quality against WW business standards
Design and maintain backend data infrastructure for end-user
Implement ETL processes
Develop monitoring capabilities for data quality and query
Collaborate on design and delivery of metrics
Ensure pipelines and data products meet field team
Maintain compliance with information security policies
Maintain compliance with data governance standards
How You'll Work.
Team & Collaboration
Partnering with key stakeholders; Work with regional leadership; Partner with key stakeholders
Full Job Description
Join the cloud platform trusted by millions worldwide and own the data infrastructure that powers strategic business decisions across Asia Pacific and Japan (APJ). This is a hands-on, technically demanding role for an experienced data engineer who is passionate about building robust data products that enable teams to measure and grow the business. You will be part of a team that operates at the intersection of data engineering, business intelligence, and regional strategy, partnering with key stakeholders (e.g. Sales, Sales Operations, Finance, etc.), and regional leadership to deliver data products that matter. If you thrive in a fast-paced, high-growth environment where ownership, technical depth, and business judgement are equally valued — and where your pipelines, data models, and analytics platforms will serve field teams across key verticals and business units across APJ — this role is for you. Key job responsibilities - Own the design, development, and maintenance of the APJ SIADS' data analytics platform, including data pipelines, data lakes, and analytical and visualisation platforms that power SMGS business insights - Build and maintain APJ-specific data models and pipelines, ensuring alignment between worldwide definitions and APJ business logic, and validating data quality against WW business standards - Design and maintain the backend data infrastructure for end-user last-mile analytics tools, implementing ETL processes that ensure data is clean, fresh, and optimised for APJ analytical requirements - Develop monitoring capabilities for data quality and query performance to keep platforms reliable and responsive - Collaborate on the design and delivery of metrics, reports, analyses, and dashboards that drive key business decisions across APJ, in partnership with key stakeholders e.g., Sales, Sales Operations, Finance, etc. - Ensure pipelines and data products meet the requirements of field teams across key verticals and business units - Maintain complian
Applying for this Senior Data Engineer, Sales Insights, Analytics, Data Engineering and Science (SIADS) role?
Most applicants get filtered before a human reads their resume. See if yours makes the cut.
ANONYMOUS · UNFILTERED
What do employees actually say about Amazon Web Services Singapore Private Limited?
Real rants from real employees. Read before you apply.