Data Engineer, Sales Insights, Analytics, Data Engineering and Science (SIADS)

About This Role

Amazon's SIADS Data Engineering role requires an experienced engineer to build and maintain the APJ data analytics platform, including pipelines, models, dashboards, and monitoring capabilities for business insights across Asia Pacific.

Responsibilities

• Own the design, development, and maintenance of APJ SIADS' data analytics platform.
• Build and maintain APJ-specific data models, pipelines, and ETL processes for clean, fresh data.
• Design backend infrastructure for last-mile analytics tools and implement monitoring for query performance and data quality.
• Collaborate with Sales, Finance, and other stakeholders to deliver metrics, reports, and dashboards that drive business decisions.
• Ensure pipelines meet field team requirements for data quality, freshness, and optimisation across APJ verticals.
• Maintain compliance with information security policies and data governance standards for all infrastructure.

Requirements

• Strong written and verbal communication skills.
• Competent in performing data transformation using SQL.
• Experienced in managing and maintaining data pipelines.
• Proficient in cloud computing platforms (e.g., AWS).
• Experienced in Infrastructure-as-Code (Terraform, CloudFormation, CDK).
• Skilled in designing system solutions at scale.
• Knowledgeable in Apache Spark for large-scale data workloads.
• Proficient in serverless ETL using AWS Glue for data ingestion, transformation, and cataloguing.